Overview

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Dataset statistics

Number of variables192
Number of observations16
Missing cells114
Missing cells (%)3.7%
Total size in memory23.6 KiB
Average record size in memory1.5 KiB

Variable types

Text4
Numeric147
DateTime3
Unsupported2
Boolean36

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w2_experimentidexperimentid
w2_lastpagelastpage
w2_submitdatesubmitdate
w2_startlanguagestartlanguage
w2_startdatestartdate
w2_datestampdatestamp
w2_refurlrefurl
w2_A01With whom do you live? 1. Alone [Go to w2_A07] 2. Other students 3. Partner 4. Your children 5. Parents or other relatives [Skip C01] 6. Other, please specify: ________
w2_A01_otherWith whom do you live? Answer: Other, please specify: ________
w2_A02In addition to you, how many people do you share the accommodation with? |__|
w2_A03How many of these people attend university? |__|
w2_A04 Do you have a: 1. Single bedroom 2. Bedroom shared with another person 3. Bedroom shared with two people or more
w2_A05_1In your accommodation, which items do you have? (Multiple choice): Answer: 1. Colour television (common area)
w2_A05_2In your accommodation, which items do you have? (Multiple choice): Answer: 2. Colour television (in your bedroom)
w2_A05_3In your accommodation, which items do you have? (Multiple choice): Answer: 3. Home theatre/Stereo system
w2_A05_4In your accommodation, which items do you have? (Multiple choice): Answer: 4. Satellite dish / Sky TV
w2_A05_5In your accommodation, which items do you have? (Multiple choice): Answer: 5. Home computer/PC
w2_A05_6In your accommodation, which items do you have? (Multiple choice): Answer: 6. Laptop computer
w2_A05_7In your accommodation, which items do you have? (Multiple choice): Answer: 7. Tablet
w2_A05_8In your accommodation, which items do you have? (Multiple choice): Answer: 8. Landline telephone
w2_A05_9In your accommodation, which items do you have? (Multiple choice): Answer: 9. Dishwasher
w2_A05_10In your accommodation, which items do you have? (Multiple choice): Answer: 10. Wi-Fi
w2_A06_1All in all, what is your commute time and distance from your accommodation to university department? Time in minutes __________
w2_A06_2All in all, what is your commute time and distance from your accommodation to university department? Distance in Km ________ (Note: use decimals to indicate meters. For example, enter 0.800 if you travel 800 meter or write in 2.5 if you travel two and a half kilometres.)
w2_A07Have you been in paid employment in the last year or so? 1. Yes 2. No
w2_A08Do you currently do any work, including occasional work? 1. Yes 2. No
w2_B01_1Do you have a car driver’s license? 1. Yes, 2. No
w2_B01_2Do you have a motorbike driver’s license? 1. Yes, 2. No
w2_B01_3Do you have a bike of your own? 1. Yes, 2. No
w2_B01_4Do you have a car of your own? 1. Yes, 2. No
w2_B01_5Do you have a motorbike of your own? 1. Yes, 2. No
w2_B01_6Do you have access to a car whenever you want? 1. Yes, 2. No
w2_B01_7Do you have access to a motorbike whenever you want? 1. Yes, 2. No
w2_B02_1What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking
w2_B02_2What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling
w2_B02_3What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question
w2_B02_4What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)
w2_B02_5What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike
w2_B02_6What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)
w2_B02_7What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train
w2_B02_8What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters
w2_B03How often do you use public transport in the weekday? 1. Never 2. Less than once a week 3. Once a week 4. Once or twice a week 5. Most days 6. Everyday
w2_C01Would you say you know how to cook? 1. Yes, I know how to cook. 2. Yes, but only basic things. 3. No, I do not know how to cook. [go to D01]
w2_C02Is there a kitchen in your accommodation that you can use? 1. Yes, there is a kitchen that I can regularly use. 2. Yes, there is one but I don’t have regular access to it. 3. No, there is no kitchen.
w2_C03_1How good you are at each of the following tasks: baking cakes, cupcakes, cookies, bread from raw ingredients. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_2How good you are at each of the following tasks: peeling and chopping raw vegetables (including potatoes, carrots, onions, broccoli). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_3How good you are at each of the following tasks: preparing and cooking raw meat (red meat and poultry). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_4How good you are at each of the following tasks: preparing and cooking raw fish. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_5How good you are at each of the following tasks: following recipes when cooking. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C04How often do you cook a main meal? 1. Daily 2. Several times a week 3. Once a week 4. Less than once a week 5. Never
w2_C05_1Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking makes me happy.
w2_C05_2Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is time consuming.
w2_C05_3Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: I am good at cooking.
w2_C05_4Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is costly
w2_C05_5Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking helps me eat healthy.
w2_C05_6Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is difficult.
w2_C05_7Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is important to me.
w2_C05_8Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is just a chore I have to do.
w2_C05_9Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: When cooking, I like to try new recipes.
w2_C06_1When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Turn to your family for tips
w2_C06_2When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look online for recipes
w2_C06_3When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look in cookbooks/magazines
w2_C06_4When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Use recipe apps
w2_C06_5When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Watch cooking shows online or on TV
w2_C06_6When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Ask friends for ideas
w2_C07_1Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I don’t follow a specific diet
w2_C07_2Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I follow a vegetarian or vegan diet
w2_C07_3Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid certain foods for religious or cultural reasons
w2_C07_4Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)
w2_C07_5Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I have no health issues but follow a health-food diet rigidly
w2_C07_6Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I limit consumption of certain foods to lose/maintain weight
w2_C07_7Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I like to try new foods and tastes.
w2_C08Which of the following statements best describes you? 1. For me, eating is a pleasure. 2. Eating for me is just a way not to feel hungry.
w2_C09Last month, how often did you shop for food groceries? 1. Rarely/Never [go to C13] 2. Once every 2 weeks 3. Once a week 4. A few times per week 5. Everyday
w2_C10_1Last month, how often did you buy the types of food products and supplements: Organic. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_2Last month, how often did you buy the types of food products and supplements: Zero-mile. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_3Last month, how often did you buy the types of food products and supplements: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_4Last month, how often did you buy the types of food products and supplements: Dietary supplements - vitamins, iron, potassium... 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_5Last month, how often did you buy the types of food products and supplements: Frozen items. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_6Last month, how often did you buy the types of food products and supplements: Allergen-free products - gluten free, lactose free. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_7Last month, how often did you buy the types of food products and supplements: Ready meals - to be just heated or defrosted in microwave/oven. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C11How much time do you spend shopping for your food groceries? Do not include the time to get to and from the store. 1. Little time, I shop as quickly as possible. 2. Time enough to find all I need. 3. More time than the strictly necessary.
w2_C12_1How often did you shop at the following super/markets last month? Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops). 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_2How often did you shop at the following super/markets last month? Answer: Organic Shops. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_3How often did you shop at the following super/markets last month? Answer: Supermarkets. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_4How often did you shop at the following super/markets last month? Answer: Discount supermarket. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_5How often did you shop at the following super/markets last month? Answer: Street markets 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_D01Beyond walking about, do you engage in other physical activities? 1. Yes 2. No
w2_D02Have you been physically active on a regular basis in the last year or so? 1. Yes 2. No [If w2_D01=No and w2_D02=No go to F01]
w2_D03_1Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping.
w2_D03_2Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates.
w2_D03_3Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing.
w2_D03_4Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Weightlifting and resistance training including free weights, bench press, leg press, push-ups, pull-ups or sit-ups.
w2_D03_5Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball.
w2_D03_6Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Boxing and martial arts like judo, karate and taekwondo.
w2_D03_7Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Racket sports such as tennis, ping pong, and squash.
w2_D03_8Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding.
w2_D04How often do you do physical exercise? 1. Every few weeks or less 2. Once or twice a week 3. Three to five days a week 4. Six to seven days a week
w2_D05_1How often do you exercise alone? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D05_2How often do you exercise with Friends, family members? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D05_3How often do you exercise with Trainer, a group or sport team? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D06_1Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Wearable fitness trackers.
w2_D06_2Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartwatches.
w2_D06_3Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartphone fitness apps.
w2_D06_4Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Headphones.
w2_D06_5Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: None.
w2_D06_otherQuestion: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Other, please specify.
w2_D07_1Question: Read the following statements and indicate how often you do the following. | Answer: Look for fitness information on the Internet.
w2_D07_2Question: Read the following statements and indicate how often you do the following. | Answer: Read specialised magazines about sports and physical activities.
w2_D07_3Question: Read the following statements and indicate how often you do the following. | Answer: Ask fitness trainers for advice on how to improve your workout routines.
w2_D07_4Question: Read the following statements and indicate how often you do the following. | Answer: Talk with sporty people about training routines and sports equipment.
w2_D07_5Question: Read the following statements and indicate how often you do the following. | Answer: Use Apps for fitness information.
w2_E01_1Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out at a local club, group, organization or place of worship. | Answer: 1. Yes, 2. No.
w2_E01_2Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out other organizations. | Answer: 1. Yes, 2. No.
w2_E01_3Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Raised money for charity (including taking part in a sponsored event). | Answer: 1. Yes, 2. No.
w2_E01_4Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Contacted someone (e.g., council, media, school) about something affecting your local area. | Answer: 1. Yes, 2. No.
w2_E01_5Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Organized a petition or event to support a local or national issue. | Answer: 1. Yes, 2. No.
w2_E01_6Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Done something to help other people, or to improve a local area. | Answer: 1. Yes, 2. No.
w2_E02_1Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different school or college to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_2Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different ethnicity to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_3Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different religious background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_4Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a richer or poorer background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_5Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are of a different sexual orientation than yours? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_F02_1Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: systematic ... casual
w2_F02_2Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: talkative ... quiet
w2_F02_3Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: open-ended ... planned
w2_F02_4Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: questioning ... accommodating
w2_F02_5Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: logic ... empathy
w2_F02_6Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sociable ... reversed
w2_F02_7Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: impartial ... merciful
w2_F02_8Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: practical ... conceptual
w2_F02_9Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: pressured ... unpressured
w2_F02_10Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sceptical ... tolerant
w2_F02_11Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: hands-on ... theoretical
w2_F02_12Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: contained ... expressive
w2_F02_13Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: reading ... listening
w2_F02_14Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: concrete ... abstract
w2_F02_15Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more : methodical ... improviser
w2_F02_16Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: routine ... variety
w2_F02_17Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: truthful ... tactful
w2_F02_18Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: fact-finding ... speculate
w2_F02_19Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: individuals ... groups
w2_F02_20Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: traditional ... novel
w2_F01_1Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Thinking up new ideas and being creative is important to them. They like to do things in their own original way
w2_F01_2Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be rich. They want to have a lot of money and expensive things
w2_F01_3Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know.
w2_F01_4Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to show their abilities. They want people to admire what he does
w2_F01_5Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety
w2_F01_6Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to do lots of different things in life. They always look for new things to try
w2_F01_7Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching
w2_F01_8Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them
w2_F01_9Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have
w2_F01_10Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They seek every chance he can to have fun. It is important to them to do things that give them pleasure
w2_F01_11Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself
w2_F01_12Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to help the people around them. They want to care for other people
w2_F01_13Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Being very successful is important to them. They like to impress other people
w2_F01_14Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without
w2_F01_15Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like to take risks. They are always looking for adventures
w2_F01_16Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong
w2_F01_17Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be in charge and tell others what to do. They want people to do what he says
w2_F01_18Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be loyal to their friends. They want to devote themself to people close to them
w2_F01_19Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They strongly believe that people should care for nature. Looking after the environment is important to them
w2_F01_20Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Religious belief is important to them. They try hard to do what their religion requires
w2_F01_21Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them that things be organized and clean. They do not want things to be a mess
w2_F01_22Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things
w2_F01_23Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them
w2_F01_24Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be ambitious. They want to show how capable he is
w2_F01_25Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned
w2_F01_26Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Enjoying life's pleasures is important to them. They like to 'spoil' themself
w2_F01_27Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to respond to the needs of others. They try to support those he knows
w2_F01_28Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be obedient. They believe he should always show respect to their parents and to older people
w2_F01_29Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society
w2_F01_30Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like surprises. It is important to them to have an exciting life
w2_F01_31Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They try hard to avoid getting sick. Staying healthy is very important to them
w2_F01_32Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Getting ahead in life is important to them. They strive to do better than others
w2_F01_33Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge
w2_F01_34Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be independent. They like to rely on themself
w2_F01_35Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Having a stable government is important to them. They are concerned that the social order be protected
w2_F01_36Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations
w2_F01_37Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They really want to enjoy life. Having a good time is very important to them
w2_F01_38Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be humble and modest. They try not to draw to themself
w2_F01_39Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They always want to be the one who makes the decisions. They like to be the leader
w2_F01_40Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature
w2_interviewtimeinterviewtime
w2_GT_A1
w2_GT_A2
w2_GT_B
w2_GT_C
w2_GT_D
w2_GT_E
w2_GT_F

Alerts

w2_experimentid has constant value "wenetDenmark" Constant
w2_lastpage has constant value "7" Constant
w2_A05_4 has constant value "False" Constant
w2_A05_8 has constant value "False" Constant
w2_B01_5 has constant value "2" Constant
w2_B01_7 has constant value "2" Constant
w2_B02_5 has constant value "False" Constant
w2_B02_8 has constant value "False" Constant
w2_C02 has constant value "1" Constant
w2_C06_2 has constant value "True" Constant
w2_C07_3 has constant value "False" Constant
w2_D03_3 has constant value "1" Constant
w2_D03_6 has constant value "1" Constant
w2_D03_7 has constant value "1" Constant
w2_D07_2 has constant value "1" Constant
w2_D07_3 has constant value "1" Constant
w2_E01_4 has constant value "2" Constant
w2_B02_4 is highly imbalanced (66.3%) Imbalance
w2_C06_5 is highly imbalanced (66.3%) Imbalance
w2_D06_2 is highly imbalanced (66.3%) Imbalance
w2_refurl has 16 (100.0%) missing values Missing
w2_A01_other has 12 (75.0%) missing values Missing
w2_A02 has 5 (31.2%) missing values Missing
w2_A03 has 5 (31.2%) missing values Missing
w2_A04 has 5 (31.2%) missing values Missing
w2_C05_5 has 1 (6.2%) missing values Missing
w2_C10_2 has 1 (6.2%) missing values Missing
w2_C12_2 has 1 (6.2%) missing values Missing
w2_D03_1 has 3 (18.8%) missing values Missing
w2_D03_2 has 3 (18.8%) missing values Missing
w2_D03_3 has 3 (18.8%) missing values Missing
w2_D03_4 has 3 (18.8%) missing values Missing
w2_D03_5 has 3 (18.8%) missing values Missing
w2_D03_6 has 3 (18.8%) missing values Missing
w2_D03_7 has 3 (18.8%) missing values Missing
w2_D03_8 has 3 (18.8%) missing values Missing
w2_D04 has 3 (18.8%) missing values Missing
w2_D05_1 has 3 (18.8%) missing values Missing
w2_D05_2 has 3 (18.8%) missing values Missing
w2_D05_3 has 3 (18.8%) missing values Missing
w2_D06_other has 16 (100.0%) missing values Missing
w2_D07_1 has 3 (18.8%) missing values Missing
w2_D07_2 has 3 (18.8%) missing values Missing
w2_D07_3 has 3 (18.8%) missing values Missing
w2_D07_4 has 3 (18.8%) missing values Missing
w2_D07_5 has 3 (18.8%) missing values Missing
w2_F02_8 has 1 (6.2%) missing values Missing
token has unique values Unique
w2_submitdate has unique values Unique
w2_startdate has unique values Unique
w2_datestamp has unique values Unique
w2_interviewtime has unique values Unique
w2_GT_A1 has unique values Unique
w2_GT_A2 has unique values Unique
w2_GT_B has unique values Unique
w2_GT_C has unique values Unique
w2_GT_D has unique values Unique
w2_GT_E has unique values Unique
w2_GT_F has unique values Unique
w2_refurl is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_D06_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_A03 has 7 (43.8%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:45:33.617282
Analysis finished2025-02-26 16:45:33.979291
Duration0.36 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2025-02-26T17:45:34.076897image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters240
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)100.0%

Sample

1st row3l853ZPbvHqIDnU
2nd row4HVJ9kLR379pRwq
3rd rowAjT7kwrp9FJ1Ocw
4th rowDh8aYCHucn0TLWm
5th rowH2hdsAZPKCzR22o
ValueCountFrequency (%)
3l853zpbvhqidnu 1
 
6.2%
4hvj9klr379prwq 1
 
6.2%
ajt7kwrp9fj1ocw 1
 
6.2%
dh8aychucn0tlwm 1
 
6.2%
h2hdsazpkczr22o 1
 
6.2%
hb0wy1jvz48iied 1
 
6.2%
hpjggi2uv7prxvk 1
 
6.2%
ma6cfkiaa673slj 1
 
6.2%
seh4kwrf2rkee0h 1
 
6.2%
vcjrwcf3v8pwmp1 1
 
6.2%
Other values (6) 6
37.5%
2025-02-26T17:45:34.271972image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
H 9
 
3.8%
v 8
 
3.3%
I 8
 
3.3%
J 8
 
3.3%
z 8
 
3.3%
R 7
 
2.9%
p 7
 
2.9%
w 7
 
2.9%
3 6
 
2.5%
A 6
 
2.5%
Other values (52) 166
69.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
H 9
 
3.8%
v 8
 
3.3%
I 8
 
3.3%
J 8
 
3.3%
z 8
 
3.3%
R 7
 
2.9%
p 7
 
2.9%
w 7
 
2.9%
3 6
 
2.5%
A 6
 
2.5%
Other values (52) 166
69.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
H 9
 
3.8%
v 8
 
3.3%
I 8
 
3.3%
J 8
 
3.3%
z 8
 
3.3%
R 7
 
2.9%
p 7
 
2.9%
w 7
 
2.9%
3 6
 
2.5%
A 6
 
2.5%
Other values (52) 166
69.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
H 9
 
3.8%
v 8
 
3.3%
I 8
 
3.3%
J 8
 
3.3%
z 8
 
3.3%
R 7
 
2.9%
p 7
 
2.9%
w 7
 
2.9%
3 6
 
2.5%
A 6
 
2.5%
Other values (52) 166
69.2%

w2_experimentid
Text

Constant 

experimentid

Distinct1
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size452.0 B
2025-02-26T17:45:34.370914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters192
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetDenmark
2nd rowwenetDenmark
3rd rowwenetDenmark
4th rowwenetDenmark
5th rowwenetDenmark
ValueCountFrequency (%)
wenetdenmark 16
100.0%
2025-02-26T17:45:34.486170image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 48
25.0%
n 32
16.7%
w 16
 
8.3%
t 16
 
8.3%
D 16
 
8.3%
m 16
 
8.3%
a 16
 
8.3%
r 16
 
8.3%
k 16
 
8.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 192
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 48
25.0%
n 32
16.7%
w 16
 
8.3%
t 16
 
8.3%
D 16
 
8.3%
m 16
 
8.3%
a 16
 
8.3%
r 16
 
8.3%
k 16
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 192
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 48
25.0%
n 32
16.7%
w 16
 
8.3%
t 16
 
8.3%
D 16
 
8.3%
m 16
 
8.3%
a 16
 
8.3%
r 16
 
8.3%
k 16
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 192
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 48
25.0%
n 32
16.7%
w 16
 
8.3%
t 16
 
8.3%
D 16
 
8.3%
m 16
 
8.3%
a 16
 
8.3%
r 16
 
8.3%
k 16
 
8.3%

w2_lastpage
Real number (ℝ)

Constant 

lastpage

Distinct1
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7
Minimum7
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:34.529477image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean7
Median Absolute Deviation (MAD)0
Skewness0
Sum112
Variance0
MonotonicityIncreasing
2025-02-26T17:45:34.568902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
7 16
100.0%
ValueCountFrequency (%)
7 16
100.0%
ValueCountFrequency (%)
7 16
100.0%

w2_submitdate
Date

Unique 

submitdate

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size260.0 B
Minimum2020-11-16 17:39:24
Maximum2020-11-24 18:37:30
2025-02-26T17:45:34.609505image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:45:34.655412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

w2_startlanguage
Text

startlanguage

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size292.0 B
2025-02-26T17:45:34.688969image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters32
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)12.5%

Sample

1st rowen
2nd rowes
3rd rowen
4th rowen
5th rowen
ValueCountFrequency (%)
en 14
87.5%
es 1
 
6.2%
it 1
 
6.2%
2025-02-26T17:45:34.764311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 15
46.9%
n 14
43.8%
s 1
 
3.1%
i 1
 
3.1%
t 1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 32
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 15
46.9%
n 14
43.8%
s 1
 
3.1%
i 1
 
3.1%
t 1
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 32
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 15
46.9%
n 14
43.8%
s 1
 
3.1%
i 1
 
3.1%
t 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 32
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 15
46.9%
n 14
43.8%
s 1
 
3.1%
i 1
 
3.1%
t 1
 
3.1%

w2_startdate
Date

Unique 

startdate

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size260.0 B
Minimum2020-11-16 17:26:17
Maximum2020-11-24 18:27:09
2025-02-26T17:45:34.807309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:45:34.860830image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

w2_datestamp
Date

Unique 

datestamp

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size260.0 B
Minimum2020-11-16 17:39:24
Maximum2020-11-24 18:37:30
2025-02-26T17:45:34.930989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:45:34.986838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

w2_refurl
Unsupported

Missing  Rejected  Unsupported 

refurl

Missing16
Missing (%)100.0%
Memory size262.0 B

w2_A01
Real number (ℝ)

With whom do you live? 1. Alone [Go to w2_A07] 2. Other students 3. Partner 4. Your children 5. Parents or other relatives [Skip C01] 6. Other, please specify: ________

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:35.029901image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33.75
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.966384161
Coefficient of variation (CV)0.6554613868
Kurtosis-1.003220917
Mean3
Median Absolute Deviation (MAD)2
Skewness0.6613624321
Sum48
Variance3.866666667
MonotonicityNot monotonic
2025-02-26T17:45:35.070648image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 5
31.2%
1 5
31.2%
6 4
25.0%
2 2
 
12.5%
ValueCountFrequency (%)
1 5
31.2%
2 2
 
12.5%
3 5
31.2%
6 4
25.0%
ValueCountFrequency (%)
6 4
25.0%
3 5
31.2%
2 2
 
12.5%
1 5
31.2%

w2_A01_other
Text

Missing 

With whom do you live? Answer: Other, please specify: ________

Distinct4
Distinct (%)100.0%
Missing12
Missing (%)75.0%
Memory size336.0 B
2025-02-26T17:45:35.137220image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length25
Median length21
Mean length18.5
Min length7

Characters and Unicode

Total characters74
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st rowchildren and wife
2nd rowworkers
3rd rowPartner + Una studentessa
4th rowPartner and other Friends
ValueCountFrequency (%)
and 2
16.7%
partner 2
16.7%
children 1
8.3%
wife 1
8.3%
workers 1
8.3%
1
8.3%
una 1
8.3%
studentessa 1
8.3%
other 1
8.3%
friends 1
8.3%
2025-02-26T17:45:35.259940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 9
12.2%
e 9
12.2%
n 8
10.8%
8
10.8%
a 6
8.1%
d 5
 
6.8%
s 5
 
6.8%
t 5
 
6.8%
i 3
 
4.1%
h 2
 
2.7%
Other values (11) 14
18.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 74
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
r 9
12.2%
e 9
12.2%
n 8
10.8%
8
10.8%
a 6
8.1%
d 5
 
6.8%
s 5
 
6.8%
t 5
 
6.8%
i 3
 
4.1%
h 2
 
2.7%
Other values (11) 14
18.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 74
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
r 9
12.2%
e 9
12.2%
n 8
10.8%
8
10.8%
a 6
8.1%
d 5
 
6.8%
s 5
 
6.8%
t 5
 
6.8%
i 3
 
4.1%
h 2
 
2.7%
Other values (11) 14
18.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 74
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
r 9
12.2%
e 9
12.2%
n 8
10.8%
8
10.8%
a 6
8.1%
d 5
 
6.8%
s 5
 
6.8%
t 5
 
6.8%
i 3
 
4.1%
h 2
 
2.7%
Other values (11) 14
18.9%

w2_A02
Real number (ℝ)

Missing 

In addition to you, how many people do you share the accommodation with? |__|

Distinct3
Distinct (%)27.3%
Missing5
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean1.545454545
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:35.303584image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8201995323
Coefficient of variation (CV)0.5307173444
Kurtosis-0.2544436328
Mean1.545454545
Median Absolute Deviation (MAD)0
Skewness1.153311979
Sum17
Variance0.6727272727
MonotonicityNot monotonic
2025-02-26T17:45:35.405757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 7
43.8%
3 2
 
12.5%
2 2
 
12.5%
(Missing) 5
31.2%
ValueCountFrequency (%)
1 7
43.8%
2 2
 
12.5%
3 2
 
12.5%
ValueCountFrequency (%)
3 2
 
12.5%
2 2
 
12.5%
1 7
43.8%

w2_A03
Real number (ℝ)

Missing  Zeros 

How many of these people attend university? |__|

Distinct4
Distinct (%)36.4%
Missing5
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean0.7272727273
Minimum0
Maximum3
Zeros7
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:35.502271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile2.5
Maximum3
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.103712743
Coefficient of variation (CV)1.517605021
Kurtosis0.02042028663
Mean0.7272727273
Median Absolute Deviation (MAD)0
Skewness1.199028546
Sum8
Variance1.218181818
MonotonicityNot monotonic
2025-02-26T17:45:35.553547image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 7
43.8%
2 2
 
12.5%
1 1
 
6.2%
3 1
 
6.2%
(Missing) 5
31.2%
ValueCountFrequency (%)
0 7
43.8%
1 1
 
6.2%
2 2
 
12.5%
3 1
 
6.2%
ValueCountFrequency (%)
3 1
 
6.2%
2 2
 
12.5%
1 1
 
6.2%
0 7
43.8%

w2_A04
Real number (ℝ)

Missing 

Do you have a: 1. Single bedroom 2. Bedroom shared with another person 3. Bedroom shared with two people or more

Distinct2
Distinct (%)18.2%
Missing5
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean1.727272727
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:35.598091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.4670993665
Coefficient of variation (CV)0.270425949
Kurtosis-0.7638888889
Mean1.727272727
Median Absolute Deviation (MAD)0
Skewness-1.189373387
Sum19
Variance0.2181818182
MonotonicityNot monotonic
2025-02-26T17:45:35.638033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 8
50.0%
1 3
 
18.8%
(Missing) 5
31.2%
ValueCountFrequency (%)
1 3
 
18.8%
2 8
50.0%
ValueCountFrequency (%)
2 8
50.0%
1 3
 
18.8%

w2_A05_1
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 1. Colour television (common area)

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
False
ValueCountFrequency (%)
True 8
50.0%
False 8
50.0%
2025-02-26T17:45:35.678095image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_2
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 2. Colour television (in your bedroom)

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
12 
True
ValueCountFrequency (%)
False 12
75.0%
True 4
 
25.0%
2025-02-26T17:45:35.715482image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_3
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 3. Home theatre/Stereo system

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
14 
True
ValueCountFrequency (%)
False 14
87.5%
True 2
 
12.5%
2025-02-26T17:45:35.754906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_4
Boolean

Constant 

In your accommodation, which items do you have? (Multiple choice): Answer: 4. Satellite dish / Sky TV

Distinct1
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
16 
ValueCountFrequency (%)
False 16
100.0%
2025-02-26T17:45:35.790935image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_5
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 5. Home computer/PC

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
10 
True
ValueCountFrequency (%)
False 10
62.5%
True 6
37.5%
2025-02-26T17:45:35.824553image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_6
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 6. Laptop computer

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
14 
False
ValueCountFrequency (%)
True 14
87.5%
False 2
 
12.5%
2025-02-26T17:45:35.862452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_7
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 7. Tablet

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
10 
True
ValueCountFrequency (%)
False 10
62.5%
True 6
37.5%
2025-02-26T17:45:35.897925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_8
Boolean

Constant 

In your accommodation, which items do you have? (Multiple choice): Answer: 8. Landline telephone

Distinct1
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
16 
ValueCountFrequency (%)
False 16
100.0%
2025-02-26T17:45:35.931944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_9
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 9. Dishwasher

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
10 
True
ValueCountFrequency (%)
False 10
62.5%
True 6
37.5%
2025-02-26T17:45:35.965734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_10
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 10. Wi-Fi

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
14 
False
ValueCountFrequency (%)
True 14
87.5%
False 2
 
12.5%
2025-02-26T17:45:36.001124image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A06_1
Real number (ℝ)

All in all, what is your commute time and distance from your accommodation to university department? Time in minutes __________

Distinct9
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.4375
Minimum15
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:36.037090image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile15
Q123.75
median32.5
Q341.25
95-th percentile52.5
Maximum60
Range45
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation13.38142369
Coefficient of variation (CV)0.4001921104
Kurtosis-0.6739126149
Mean33.4375
Median Absolute Deviation (MAD)10
Skewness0.3585609019
Sum535
Variance179.0625
MonotonicityNot monotonic
2025-02-26T17:45:36.073476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
25.0 2
12.5%
15.0 2
12.5%
35.0 2
12.5%
40.0 2
12.5%
50.0 2
12.5%
20.0 2
12.5%
30.0 2
12.5%
60.0 1
6.2%
45.0 1
6.2%
ValueCountFrequency (%)
15.0 2
12.5%
20.0 2
12.5%
25.0 2
12.5%
30.0 2
12.5%
35.0 2
12.5%
ValueCountFrequency (%)
60.0 1
6.2%
50.0 2
12.5%
45.0 1
6.2%
40.0 2
12.5%
35.0 2
12.5%

w2_A06_2
Real number (ℝ)

All in all, what is your commute time and distance from your accommodation to university department? Distance in Km ________ (Note: use decimals to indicate meters. For example, enter 0.800 if you travel 800 meter or write in 2.5 if you travel two and a half kilometres.)

Distinct12
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4125
Minimum3
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:36.109660image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.5
Q15.5
median6.55
Q311.25
95-th percentile19.25
Maximum38
Range35
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation8.173279635
Coefficient of variation (CV)0.868343122
Kurtosis11.28328294
Mean9.4125
Median Absolute Deviation (MAD)1.5
Skewness3.17550582
Sum150.6
Variance66.8025
MonotonicityNot monotonic
2025-02-26T17:45:36.149380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5.0 2
12.5%
5.5 2
12.5%
6.0 2
12.5%
12.0 2
12.5%
7.5 1
6.2%
8.0 1
6.2%
6.5 1
6.2%
38.0 1
6.2%
13.0 1
6.2%
3.0 1
6.2%
Other values (2) 2
12.5%
ValueCountFrequency (%)
3.0 1
6.2%
5.0 2
12.5%
5.5 2
12.5%
6.0 2
12.5%
6.5 1
6.2%
ValueCountFrequency (%)
38.0 1
6.2%
13.0 1
6.2%
12.0 2
12.5%
11.0 1
6.2%
8.0 1
6.2%

w2_A07
Real number (ℝ)

Have you been in paid employment in the last year or so? 1. Yes 2. No

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.375
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:36.187940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5
Coefficient of variation (CV)0.3636363636
Kurtosis-1.934065934
Mean1.375
Median Absolute Deviation (MAD)0
Skewness0.5714285714
Sum22
Variance0.25
MonotonicityNot monotonic
2025-02-26T17:45:36.226029image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 10
62.5%
2 6
37.5%
ValueCountFrequency (%)
1 10
62.5%
2 6
37.5%
ValueCountFrequency (%)
2 6
37.5%
1 10
62.5%

w2_A08
Real number (ℝ)

Do you currently do any work, including occasional work? 1. Yes 2. No

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4375
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:36.262313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5123475383
Coefficient of variation (CV)0.3564156788
Kurtosis-2.218733647
Mean1.4375
Median Absolute Deviation (MAD)0
Skewness0.2788285923
Sum23
Variance0.2625
MonotonicityNot monotonic
2025-02-26T17:45:36.298987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 9
56.2%
2 7
43.8%
ValueCountFrequency (%)
1 9
56.2%
2 7
43.8%
ValueCountFrequency (%)
2 7
43.8%
1 9
56.2%

w2_B01_1
Real number (ℝ)

Do you have a car driver’s license? 1. Yes, 2. No

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.25
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:36.347954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4472135955
Coefficient of variation (CV)0.3577708764
Kurtosis-0.4395604396
Mean1.25
Median Absolute Deviation (MAD)0
Skewness1.27775313
Sum20
Variance0.2
MonotonicityNot monotonic
2025-02-26T17:45:36.410899image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 12
75.0%
2 4
 
25.0%
ValueCountFrequency (%)
1 12
75.0%
2 4
 
25.0%
ValueCountFrequency (%)
2 4
 
25.0%
1 12
75.0%

w2_B01_2
Real number (ℝ)

Do you have a motorbike driver’s license? 1. Yes, 2. No

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.875
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:36.448908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3415650255
Coefficient of variation (CV)0.1821680136
Kurtosis4.897959184
Mean1.875
Median Absolute Deviation (MAD)0
Skewness-2.50945733
Sum30
Variance0.1166666667
MonotonicityNot monotonic
2025-02-26T17:45:36.488741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 14
87.5%
1 2
 
12.5%
ValueCountFrequency (%)
1 2
 
12.5%
2 14
87.5%
ValueCountFrequency (%)
2 14
87.5%
1 2
 
12.5%

w2_B01_3
Real number (ℝ)

Do you have a bike of your own? 1. Yes, 2. No

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0625
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:36.526023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.25
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.25
Coefficient of variation (CV)0.2352941176
Kurtosis16
Mean1.0625
Median Absolute Deviation (MAD)0
Skewness4
Sum17
Variance0.0625
MonotonicityNot monotonic
2025-02-26T17:45:36.630558image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 15
93.8%
2 1
 
6.2%
ValueCountFrequency (%)
1 15
93.8%
2 1
 
6.2%
ValueCountFrequency (%)
2 1
 
6.2%
1 15
93.8%

w2_B01_4
Real number (ℝ)

Do you have a car of your own? 1. Yes, 2. No

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9375
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:36.718491image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.25
Coefficient of variation (CV)0.1290322581
Kurtosis16
Mean1.9375
Median Absolute Deviation (MAD)0
Skewness-4
Sum31
Variance0.0625
MonotonicityNot monotonic
2025-02-26T17:45:36.764487image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 15
93.8%
1 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
2 15
93.8%
ValueCountFrequency (%)
2 15
93.8%
1 1
 
6.2%

w2_B01_5
Real number (ℝ)

Constant 

Do you have a motorbike of your own? 1. Yes, 2. No

Distinct1
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:36.808302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum32
Variance0
MonotonicityIncreasing
2025-02-26T17:45:36.857656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 16
100.0%
ValueCountFrequency (%)
2 16
100.0%
ValueCountFrequency (%)
2 16
100.0%

w2_B01_6
Real number (ℝ)

Do you have access to a car whenever you want? 1. Yes, 2. No

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.875
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:36.914144image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3415650255
Coefficient of variation (CV)0.1821680136
Kurtosis4.897959184
Mean1.875
Median Absolute Deviation (MAD)0
Skewness-2.50945733
Sum30
Variance0.1166666667
MonotonicityNot monotonic
2025-02-26T17:45:37.005943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 14
87.5%
1 2
 
12.5%
ValueCountFrequency (%)
1 2
 
12.5%
2 14
87.5%
ValueCountFrequency (%)
2 14
87.5%
1 2
 
12.5%

w2_B01_7
Real number (ℝ)

Constant 

Do you have access to a motorbike whenever you want? 1. Yes, 2. No

Distinct1
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:37.059135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum32
Variance0
MonotonicityIncreasing
2025-02-26T17:45:37.106878image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 16
100.0%
ValueCountFrequency (%)
2 16
100.0%
ValueCountFrequency (%)
2 16
100.0%

w2_B02_1
Boolean

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
13 
False
ValueCountFrequency (%)
True 13
81.2%
False 3
 
18.8%
2025-02-26T17:45:37.161870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_2
Boolean

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
12 
False
ValueCountFrequency (%)
True 12
75.0%
False 4
 
25.0%
2025-02-26T17:45:37.227837image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_3
Boolean

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
14 
True
ValueCountFrequency (%)
False 14
87.5%
True 2
 
12.5%
2025-02-26T17:45:37.269660image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_4
Boolean

Imbalance 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
15 
True
 
1
ValueCountFrequency (%)
False 15
93.8%
True 1
 
6.2%
2025-02-26T17:45:37.319137image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_5
Boolean

Constant 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike

Distinct1
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
16 
ValueCountFrequency (%)
False 16
100.0%
2025-02-26T17:45:37.455034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_6
Boolean

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
10 
False
ValueCountFrequency (%)
True 10
62.5%
False 6
37.5%
2025-02-26T17:45:37.536895image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_7
Boolean

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
11 
True
ValueCountFrequency (%)
False 11
68.8%
True 5
31.2%
2025-02-26T17:45:37.583959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_8
Boolean

Constant 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters

Distinct1
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
16 
ValueCountFrequency (%)
False 16
100.0%
2025-02-26T17:45:37.629257image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B03
Real number (ℝ)

How often do you use public transport in the weekday? 1. Never 2. Less than once a week 3. Once a week 4. Once or twice a week 5. Most days 6. Everyday

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4375
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:37.713346image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.71148084
Coefficient of variation (CV)0.4978853354
Kurtosis-1.427346472
Mean3.4375
Median Absolute Deviation (MAD)2
Skewness0.03027713475
Sum55
Variance2.929166667
MonotonicityNot monotonic
2025-02-26T17:45:37.764118image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 5
31.2%
4 4
25.0%
5 3
18.8%
1 2
 
12.5%
6 2
 
12.5%
ValueCountFrequency (%)
1 2
 
12.5%
2 5
31.2%
4 4
25.0%
5 3
18.8%
6 2
 
12.5%
ValueCountFrequency (%)
6 2
 
12.5%
5 3
18.8%
4 4
25.0%
2 5
31.2%
1 2
 
12.5%

w2_C01
Real number (ℝ)

Would you say you know how to cook? 1. Yes, I know how to cook. 2. Yes, but only basic things. 3. No, I do not know how to cook. [go to D01]

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1875
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:37.802786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4031128874
Coefficient of variation (CV)0.3394634841
Kurtosis1.284868977
Mean1.1875
Median Absolute Deviation (MAD)0
Skewness1.77192478
Sum19
Variance0.1625
MonotonicityNot monotonic
2025-02-26T17:45:37.844838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 13
81.2%
2 3
 
18.8%
ValueCountFrequency (%)
1 13
81.2%
2 3
 
18.8%
ValueCountFrequency (%)
2 3
 
18.8%
1 13
81.2%

w2_C02
Real number (ℝ)

Constant 

Is there a kitchen in your accommodation that you can use? 1. Yes, there is a kitchen that I can regularly use. 2. Yes, there is one but I don’t have regular access to it. 3. No, there is no kitchen.

Distinct1
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:37.882643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum16
Variance0
MonotonicityIncreasing
2025-02-26T17:45:37.921978image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 16
100.0%
ValueCountFrequency (%)
1 16
100.0%
ValueCountFrequency (%)
1 16
100.0%

w2_C03_1
Real number (ℝ)

How good you are at each of the following tasks: baking cakes, cupcakes, cookies, bread from raw ingredients. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct6
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6875
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:37.957634image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.75
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.956825661
Coefficient of variation (CV)0.417456141
Kurtosis-0.4174851175
Mean4.6875
Median Absolute Deviation (MAD)1
Skewness-0.6575174285
Sum75
Variance3.829166667
MonotonicityNot monotonic
2025-02-26T17:45:37.996038image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 4
25.0%
4 3
18.8%
7 3
18.8%
1 2
12.5%
3 2
12.5%
5 2
12.5%
ValueCountFrequency (%)
1 2
12.5%
3 2
12.5%
4 3
18.8%
5 2
12.5%
6 4
25.0%
ValueCountFrequency (%)
7 3
18.8%
6 4
25.0%
5 2
12.5%
4 3
18.8%
3 2
12.5%

w2_C03_2
Real number (ℝ)

How good you are at each of the following tasks: peeling and chopping raw vegetables (including potatoes, carrots, onions, broccoli). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8125
Minimum3
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:38.035264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.75
Q15
median6
Q37
95-th percentile7
Maximum7
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.327591805
Coefficient of variation (CV)0.2284028911
Kurtosis-0.5211226578
Mean5.8125
Median Absolute Deviation (MAD)1
Skewness-0.7822438365
Sum93
Variance1.7625
MonotonicityNot monotonic
2025-02-26T17:45:38.077198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 7
43.8%
6 3
18.8%
5 3
18.8%
4 2
 
12.5%
3 1
 
6.2%
ValueCountFrequency (%)
3 1
 
6.2%
4 2
 
12.5%
5 3
18.8%
6 3
18.8%
7 7
43.8%
ValueCountFrequency (%)
7 7
43.8%
6 3
18.8%
5 3
18.8%
4 2
 
12.5%
3 1
 
6.2%

w2_C03_3
Real number (ℝ)

How good you are at each of the following tasks: preparing and cooking raw meat (red meat and poultry). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct6
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0625
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:38.118722image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.75
Q13
median5.5
Q37
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.87860764
Coefficient of variation (CV)0.3710829907
Kurtosis-1.716988297
Mean5.0625
Median Absolute Deviation (MAD)1.5
Skewness-0.2405222063
Sum81
Variance3.529166667
MonotonicityNot monotonic
2025-02-26T17:45:38.158174image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7 6
37.5%
3 4
25.0%
6 2
 
12.5%
4 2
 
12.5%
2 1
 
6.2%
5 1
 
6.2%
ValueCountFrequency (%)
2 1
 
6.2%
3 4
25.0%
4 2
12.5%
5 1
 
6.2%
6 2
12.5%
ValueCountFrequency (%)
7 6
37.5%
6 2
 
12.5%
5 1
 
6.2%
4 2
 
12.5%
3 4
25.0%

w2_C03_4
Real number (ℝ)

How good you are at each of the following tasks: preparing and cooking raw fish. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:38.194963image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q14
median5.5
Q37
95-th percentile7.25
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.040220576
Coefficient of variation (CV)0.3932955328
Kurtosis-0.5059370825
Mean5.1875
Median Absolute Deviation (MAD)1.5
Skewness-0.6121006049
Sum83
Variance4.1625
MonotonicityNot monotonic
2025-02-26T17:45:38.235376image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 5
31.2%
4 3
18.8%
6 2
 
12.5%
5 2
 
12.5%
1 1
 
6.2%
3 1
 
6.2%
2 1
 
6.2%
8 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
2 1
 
6.2%
3 1
 
6.2%
4 3
18.8%
5 2
12.5%
ValueCountFrequency (%)
8 1
 
6.2%
7 5
31.2%
6 2
 
12.5%
5 2
 
12.5%
4 3
18.8%

w2_C03_5
Real number (ℝ)

How good you are at each of the following tasks: following recipes when cooking. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.875
Minimum3
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:38.274165image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.75
Q15
median6.5
Q37
95-th percentile7
Maximum7
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.310216267
Coefficient of variation (CV)0.2230155348
Kurtosis-0.4487170855
Mean5.875
Median Absolute Deviation (MAD)0.5
Skewness-0.75582275
Sum94
Variance1.716666667
MonotonicityNot monotonic
2025-02-26T17:45:38.333029image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 8
50.0%
5 5
31.2%
6 1
 
6.2%
3 1
 
6.2%
4 1
 
6.2%
ValueCountFrequency (%)
3 1
 
6.2%
4 1
 
6.2%
5 5
31.2%
6 1
 
6.2%
7 8
50.0%
ValueCountFrequency (%)
7 8
50.0%
6 1
 
6.2%
5 5
31.2%
4 1
 
6.2%
3 1
 
6.2%

w2_C04
Real number (ℝ)

How often do you cook a main meal? 1. Daily 2. Several times a week 3. Once a week 4. Less than once a week 5. Never

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:38.438738image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4.25
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.236594787
Coefficient of variation (CV)0.5995611087
Kurtosis0.9904330685
Mean2.0625
Median Absolute Deviation (MAD)1
Skewness1.317358405
Sum33
Variance1.529166667
MonotonicityNot monotonic
2025-02-26T17:45:38.483745image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 7
43.8%
1 6
37.5%
4 2
 
12.5%
5 1
 
6.2%
ValueCountFrequency (%)
1 6
37.5%
2 7
43.8%
4 2
 
12.5%
5 1
 
6.2%
ValueCountFrequency (%)
5 1
 
6.2%
4 2
 
12.5%
2 7
43.8%
1 6
37.5%

w2_C05_1
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking makes me happy.

Distinct7
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0625
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:38.525405image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q14
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.948289848
Coefficient of variation (CV)0.3848473775
Kurtosis-0.4754409896
Mean5.0625
Median Absolute Deviation (MAD)2
Skewness-0.6560559952
Sum81
Variance3.795833333
MonotonicityNot monotonic
2025-02-26T17:45:38.564842image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 6
37.5%
4 3
18.8%
5 3
18.8%
6 1
 
6.2%
1 1
 
6.2%
2 1
 
6.2%
3 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
2 1
 
6.2%
3 1
 
6.2%
4 3
18.8%
5 3
18.8%
ValueCountFrequency (%)
7 6
37.5%
6 1
 
6.2%
5 3
18.8%
4 3
18.8%
3 1
 
6.2%

w2_C05_2
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is time consuming.

Distinct6
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.25
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:38.601601image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q14
median5.5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.732050808
Coefficient of variation (CV)0.3299144395
Kurtosis0.7975579976
Mean5.25
Median Absolute Deviation (MAD)1.5
Skewness-0.9677490226
Sum84
Variance3
MonotonicityNot monotonic
2025-02-26T17:45:38.644573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7 5
31.2%
6 3
18.8%
4 3
18.8%
5 3
18.8%
1 1
 
6.2%
3 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
3 1
 
6.2%
4 3
18.8%
5 3
18.8%
6 3
18.8%
ValueCountFrequency (%)
7 5
31.2%
6 3
18.8%
5 3
18.8%
4 3
18.8%
3 1
 
6.2%

w2_C05_3
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: I am good at cooking.

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1875
Minimum3
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:38.684202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14
median5
Q36.25
95-th percentile7
Maximum7
Range4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.376892637
Coefficient of variation (CV)0.2654250866
Kurtosis-1.052919499
Mean5.1875
Median Absolute Deviation (MAD)1
Skewness-0.03215211885
Sum83
Variance1.895833333
MonotonicityNot monotonic
2025-02-26T17:45:38.741931image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 5
31.2%
7 4
25.0%
4 3
18.8%
3 2
 
12.5%
6 2
 
12.5%
ValueCountFrequency (%)
3 2
 
12.5%
4 3
18.8%
5 5
31.2%
6 2
 
12.5%
7 4
25.0%
ValueCountFrequency (%)
7 4
25.0%
6 2
 
12.5%
5 5
31.2%
4 3
18.8%
3 2
 
12.5%

w2_C05_4
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is costly

Distinct6
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1875
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:38.787780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q12
median3
Q34.25
95-th percentile5.25
Maximum6
Range5
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.424488212
Coefficient of variation (CV)0.4468982626
Kurtosis-0.6059498816
Mean3.1875
Median Absolute Deviation (MAD)1
Skewness0.5739196675
Sum51
Variance2.029166667
MonotonicityNot monotonic
2025-02-26T17:45:38.844710image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 5
31.2%
3 5
31.2%
5 3
18.8%
4 1
 
6.2%
6 1
 
6.2%
1 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
2 5
31.2%
3 5
31.2%
4 1
 
6.2%
5 3
18.8%
ValueCountFrequency (%)
6 1
 
6.2%
5 3
18.8%
4 1
 
6.2%
3 5
31.2%
2 5
31.2%

w2_C05_5
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking helps me eat healthy.

Distinct5
Distinct (%)33.3%
Missing1
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.733333333
Minimum3
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:38.900833image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.7
Q15
median6
Q37
95-th percentile7
Maximum7
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.222799287
Coefficient of variation (CV)0.2132789453
Kurtosis0.1084612576
Mean5.733333333
Median Absolute Deviation (MAD)1
Skewness-0.7649054354
Sum86
Variance1.495238095
MonotonicityNot monotonic
2025-02-26T17:45:38.945795image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 5
31.2%
6 4
25.0%
5 4
25.0%
4 1
 
6.2%
3 1
 
6.2%
(Missing) 1
 
6.2%
ValueCountFrequency (%)
3 1
 
6.2%
4 1
 
6.2%
5 4
25.0%
6 4
25.0%
7 5
31.2%
ValueCountFrequency (%)
7 5
31.2%
6 4
25.0%
5 4
25.0%
4 1
 
6.2%
3 1
 
6.2%

w2_C05_6
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is difficult.

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:38.990103image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q33
95-th percentile4.25
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.263262971
Coefficient of variation (CV)0.5182617316
Kurtosis-0.6963555025
Mean2.4375
Median Absolute Deviation (MAD)1
Skewness0.3870901422
Sum39
Variance1.595833333
MonotonicityNot monotonic
2025-02-26T17:45:39.042157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 5
31.2%
3 5
31.2%
2 3
18.8%
4 2
 
12.5%
5 1
 
6.2%
ValueCountFrequency (%)
1 5
31.2%
2 3
18.8%
3 5
31.2%
4 2
 
12.5%
5 1
 
6.2%
ValueCountFrequency (%)
5 1
 
6.2%
4 2
 
12.5%
3 5
31.2%
2 3
18.8%
1 5
31.2%

w2_C05_7
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is important to me.

Distinct7
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.125
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:39.084234image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q12.75
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.784189825
Coefficient of variation (CV)0.4325308668
Kurtosis-0.6659013528
Mean4.125
Median Absolute Deviation (MAD)1
Skewness-0.05281996139
Sum66
Variance3.183333333
MonotonicityNot monotonic
2025-02-26T17:45:39.122080image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 4
25.0%
5 4
25.0%
2 3
18.8%
7 2
12.5%
1 1
 
6.2%
6 1
 
6.2%
3 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
2 3
18.8%
3 1
 
6.2%
4 4
25.0%
5 4
25.0%
ValueCountFrequency (%)
7 2
12.5%
6 1
 
6.2%
5 4
25.0%
4 4
25.0%
3 1
 
6.2%

w2_C05_8
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is just a chore I have to do.

Distinct7
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3125
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:39.157993image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6.25
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.887458609
Coefficient of variation (CV)0.5697988253
Kurtosis-0.886394123
Mean3.3125
Median Absolute Deviation (MAD)1.5
Skewness0.4352698813
Sum53
Variance3.5625
MonotonicityNot monotonic
2025-02-26T17:45:39.195704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 4
25.0%
1 3
18.8%
5 3
18.8%
4 2
12.5%
3 2
12.5%
6 1
 
6.2%
7 1
 
6.2%
ValueCountFrequency (%)
1 3
18.8%
2 4
25.0%
3 2
12.5%
4 2
12.5%
5 3
18.8%
ValueCountFrequency (%)
7 1
 
6.2%
6 1
 
6.2%
5 3
18.8%
4 2
12.5%
3 2
12.5%

w2_C05_9
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: When cooking, I like to try new recipes.

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4375
Minimum3
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:39.233762image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13.75
median4.5
Q35
95-th percentile6.25
Maximum7
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.152894907
Coefficient of variation (CV)0.259807303
Kurtosis0.06440430178
Mean4.4375
Median Absolute Deviation (MAD)0.5
Skewness0.4719520036
Sum71
Variance1.329166667
MonotonicityNot monotonic
2025-02-26T17:45:39.275598image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 6
37.5%
3 4
25.0%
4 4
25.0%
7 1
 
6.2%
6 1
 
6.2%
ValueCountFrequency (%)
3 4
25.0%
4 4
25.0%
5 6
37.5%
6 1
 
6.2%
7 1
 
6.2%
ValueCountFrequency (%)
7 1
 
6.2%
6 1
 
6.2%
5 6
37.5%
4 4
25.0%
3 4
25.0%

w2_C06_1
Boolean

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Turn to your family for tips

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
10 
False
ValueCountFrequency (%)
True 10
62.5%
False 6
37.5%
2025-02-26T17:45:39.363676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_2
Boolean

Constant 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look online for recipes

Distinct1
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
16 
ValueCountFrequency (%)
True 16
100.0%
2025-02-26T17:45:39.454139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_3
Boolean

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look in cookbooks/magazines

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
12 
True
ValueCountFrequency (%)
False 12
75.0%
True 4
 
25.0%
2025-02-26T17:45:39.490776image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_4
Boolean

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Use recipe apps

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
12 
True
ValueCountFrequency (%)
False 12
75.0%
True 4
 
25.0%
2025-02-26T17:45:39.528205image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_5
Boolean

Imbalance 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Watch cooking shows online or on TV

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
15 
True
 
1
ValueCountFrequency (%)
False 15
93.8%
True 1
 
6.2%
2025-02-26T17:45:39.694198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_6
Boolean

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Ask friends for ideas

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
True
ValueCountFrequency (%)
False 9
56.2%
True 7
43.8%
2025-02-26T17:45:39.796505image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_1
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I don’t follow a specific diet

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
False
ValueCountFrequency (%)
True 9
56.2%
False 7
43.8%
2025-02-26T17:45:39.833809image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_2
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I follow a vegetarian or vegan diet

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
14 
True
ValueCountFrequency (%)
False 14
87.5%
True 2
 
12.5%
2025-02-26T17:45:39.871385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_3
Boolean

Constant 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid certain foods for religious or cultural reasons

Distinct1
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
16 
ValueCountFrequency (%)
False 16
100.0%
2025-02-26T17:45:39.906503image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_4
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
12 
True
ValueCountFrequency (%)
False 12
75.0%
True 4
 
25.0%
2025-02-26T17:45:39.940415image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_5
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I have no health issues but follow a health-food diet rigidly

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
11 
True
ValueCountFrequency (%)
False 11
68.8%
True 5
31.2%
2025-02-26T17:45:39.976367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_6
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I limit consumption of certain foods to lose/maintain weight

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
10 
True
ValueCountFrequency (%)
False 10
62.5%
True 6
37.5%
2025-02-26T17:45:40.011959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_7
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I like to try new foods and tastes.

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
10 
False
ValueCountFrequency (%)
True 10
62.5%
False 6
37.5%
2025-02-26T17:45:40.048352image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C08
Real number (ℝ)

Which of the following statements best describes you? 1. For me, eating is a pleasure. 2. Eating for me is just a way not to feel hungry.

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.125
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:40.082969image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3415650255
Coefficient of variation (CV)0.303613356
Kurtosis4.897959184
Mean1.125
Median Absolute Deviation (MAD)0
Skewness2.50945733
Sum18
Variance0.1166666667
MonotonicityNot monotonic
2025-02-26T17:45:40.122318image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 14
87.5%
2 2
 
12.5%
ValueCountFrequency (%)
1 14
87.5%
2 2
 
12.5%
ValueCountFrequency (%)
2 2
 
12.5%
1 14
87.5%

w2_C09
Real number (ℝ)

Last month, how often did you shop for food groceries? 1. Rarely/Never [go to C13] 2. Once every 2 weeks 3. Once a week 4. A few times per week 5. Everyday

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.625
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:40.201804image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8850612032
Coefficient of variation (CV)0.2441548147
Kurtosis-0.1587909601
Mean3.625
Median Absolute Deviation (MAD)0.5
Skewness-0.4327143954
Sum58
Variance0.7833333333
MonotonicityNot monotonic
2025-02-26T17:45:40.279012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 8
50.0%
3 4
25.0%
5 2
 
12.5%
2 2
 
12.5%
ValueCountFrequency (%)
2 2
 
12.5%
3 4
25.0%
4 8
50.0%
5 2
 
12.5%
ValueCountFrequency (%)
5 2
 
12.5%
4 8
50.0%
3 4
25.0%
2 2
 
12.5%

w2_C10_1
Real number (ℝ)

Last month, how often did you buy the types of food products and supplements: Organic. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum2
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:40.319514image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2.5
Q33
95-th percentile3
Maximum3
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5163977795
Coefficient of variation (CV)0.2065591118
Kurtosis-2.307692308
Mean2.5
Median Absolute Deviation (MAD)0.5
Skewness0
Sum40
Variance0.2666666667
MonotonicityNot monotonic
2025-02-26T17:45:40.358116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
3 8
50.0%
2 8
50.0%
ValueCountFrequency (%)
2 8
50.0%
3 8
50.0%
ValueCountFrequency (%)
3 8
50.0%
2 8
50.0%

w2_C10_2
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Zero-mile. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct3
Distinct (%)20.0%
Missing1
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean1.6
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:40.396887image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8280786712
Coefficient of variation (CV)0.5175491695
Kurtosis-0.7852564103
Mean1.6
Median Absolute Deviation (MAD)0
Skewness0.9405460869
Sum24
Variance0.6857142857
MonotonicityNot monotonic
2025-02-26T17:45:40.439604image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 9
56.2%
2 3
 
18.8%
3 3
 
18.8%
(Missing) 1
 
6.2%
ValueCountFrequency (%)
1 9
56.2%
2 3
 
18.8%
3 3
 
18.8%
ValueCountFrequency (%)
3 3
 
18.8%
2 3
 
18.8%
1 9
56.2%

w2_C10_3
Real number (ℝ)

Last month, how often did you buy the types of food products and supplements: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0625
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:40.482286image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.25
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.25
Coefficient of variation (CV)0.2352941176
Kurtosis16
Mean1.0625
Median Absolute Deviation (MAD)0
Skewness4
Sum17
Variance0.0625
MonotonicityNot monotonic
2025-02-26T17:45:40.523305image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 15
93.8%
2 1
 
6.2%
ValueCountFrequency (%)
1 15
93.8%
2 1
 
6.2%
ValueCountFrequency (%)
2 1
 
6.2%
1 15
93.8%

w2_C10_4
Real number (ℝ)

Last month, how often did you buy the types of food products and supplements: Dietary supplements - vitamins, iron, potassium... 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.75
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:40.560406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6831300511
Coefficient of variation (CV)0.3903600292
Kurtosis-0.5920610002
Mean1.75
Median Absolute Deviation (MAD)0.5
Skewness0.3584939043
Sum28
Variance0.4666666667
MonotonicityNot monotonic
2025-02-26T17:45:40.600927image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 8
50.0%
1 6
37.5%
3 2
 
12.5%
ValueCountFrequency (%)
1 6
37.5%
2 8
50.0%
3 2
 
12.5%
ValueCountFrequency (%)
3 2
 
12.5%
2 8
50.0%
1 6
37.5%

w2_C10_5
Real number (ℝ)

Last month, how often did you buy the types of food products and supplements: Frozen items. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5625
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:40.638828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3.25
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8139410298
Coefficient of variation (CV)0.3176355238
Kurtosis0.1323845254
Mean2.5625
Median Absolute Deviation (MAD)0
Skewness-0.6523781025
Sum41
Variance0.6625
MonotonicityNot monotonic
2025-02-26T17:45:40.675452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 9
56.2%
2 4
25.0%
1 2
 
12.5%
4 1
 
6.2%
ValueCountFrequency (%)
1 2
 
12.5%
2 4
25.0%
3 9
56.2%
4 1
 
6.2%
ValueCountFrequency (%)
4 1
 
6.2%
3 9
56.2%
2 4
25.0%
1 2
 
12.5%

w2_C10_6
Real number (ℝ)

Last month, how often did you buy the types of food products and supplements: Allergen-free products - gluten free, lactose free. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:40.716790image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7302967433
Coefficient of variation (CV)0.4868644956
Kurtosis0.1442307692
Mean1.5
Median Absolute Deviation (MAD)0
Skewness1.173691195
Sum24
Variance0.5333333333
MonotonicityNot monotonic
2025-02-26T17:45:40.759375image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 10
62.5%
2 4
 
25.0%
3 2
 
12.5%
ValueCountFrequency (%)
1 10
62.5%
2 4
 
25.0%
3 2
 
12.5%
ValueCountFrequency (%)
3 2
 
12.5%
2 4
 
25.0%
1 10
62.5%

w2_C10_7
Real number (ℝ)

Last month, how often did you buy the types of food products and supplements: Ready meals - to be just heated or defrosted in microwave/oven. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:40.802061image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q32.25
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.7302967433
Coefficient of variation (CV)0.3651483717
Kurtosis-0.9065934066
Mean2
Median Absolute Deviation (MAD)0.5
Skewness0
Sum32
Variance0.5333333333
MonotonicityNot monotonic
2025-02-26T17:45:40.842375image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 8
50.0%
1 4
25.0%
3 4
25.0%
ValueCountFrequency (%)
1 4
25.0%
2 8
50.0%
3 4
25.0%
ValueCountFrequency (%)
3 4
25.0%
2 8
50.0%
1 4
25.0%

w2_C11
Real number (ℝ)

How much time do you spend shopping for your food groceries? Do not include the time to get to and from the store. 1. Little time, I shop as quickly as possible. 2. Time enough to find all I need. 3. More time than the strictly necessary.

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9375
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:40.881565image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2.25
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4425306016
Coefficient of variation (CV)0.2284028911
Kurtosis3.616374572
Mean1.9375
Median Absolute Deviation (MAD)0
Skewness-0.3915035006
Sum31
Variance0.1958333333
MonotonicityNot monotonic
2025-02-26T17:45:40.923045image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 13
81.2%
1 2
 
12.5%
3 1
 
6.2%
ValueCountFrequency (%)
1 2
 
12.5%
2 13
81.2%
3 1
 
6.2%
ValueCountFrequency (%)
3 1
 
6.2%
2 13
81.2%
1 2
 
12.5%

w2_C12_1
Real number (ℝ)

How often did you shop at the following super/markets last month? Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops). 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:40.962617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.087811258
Coefficient of variation (CV)0.6694223127
Kurtosis5.891557362
Mean1.625
Median Absolute Deviation (MAD)0
Skewness2.297267973
Sum26
Variance1.183333333
MonotonicityNot monotonic
2025-02-26T17:45:41.003106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 10
62.5%
2 4
 
25.0%
3 1
 
6.2%
5 1
 
6.2%
ValueCountFrequency (%)
1 10
62.5%
2 4
 
25.0%
3 1
 
6.2%
5 1
 
6.2%
ValueCountFrequency (%)
5 1
 
6.2%
3 1
 
6.2%
2 4
 
25.0%
1 10
62.5%

w2_C12_2
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Organic Shops. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct3
Distinct (%)20.0%
Missing1
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean1.466666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:41.042184image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.5
95-th percentile2.9
Maximum5
Range4
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.060098827
Coefficient of variation (CV)0.722794655
Kurtosis9.858904382
Mean1.466666667
Median Absolute Deviation (MAD)0
Skewness3.005795871
Sum22
Variance1.123809524
MonotonicityNot monotonic
2025-02-26T17:45:41.082860image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 11
68.8%
2 3
 
18.8%
5 1
 
6.2%
(Missing) 1
 
6.2%
ValueCountFrequency (%)
1 11
68.8%
2 3
 
18.8%
5 1
 
6.2%
ValueCountFrequency (%)
5 1
 
6.2%
2 3
 
18.8%
1 11
68.8%

w2_C12_3
Real number (ℝ)

How often did you shop at the following super/markets last month? Answer: Supermarkets. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.75
Minimum3
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:41.124016image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13.75
median4
Q34
95-th percentile4
Maximum4
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4472135955
Coefficient of variation (CV)0.1192569588
Kurtosis-0.4395604396
Mean3.75
Median Absolute Deviation (MAD)0
Skewness-1.27775313
Sum60
Variance0.2
MonotonicityNot monotonic
2025-02-26T17:45:41.161826image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
4 12
75.0%
3 4
 
25.0%
ValueCountFrequency (%)
3 4
 
25.0%
4 12
75.0%
ValueCountFrequency (%)
4 12
75.0%
3 4
 
25.0%

w2_C12_4
Real number (ℝ)

How often did you shop at the following super/markets last month? Answer: Discount supermarket. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0625
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:41.197454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q12.75
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.9287087811
Coefficient of variation (CV)0.3032518469
Kurtosis-0.1523366363
Mean3.0625
Median Absolute Deviation (MAD)1
Skewness-0.7066959128
Sum49
Variance0.8625
MonotonicityNot monotonic
2025-02-26T17:45:41.234271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 6
37.5%
4 6
37.5%
2 3
18.8%
1 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
2 3
18.8%
3 6
37.5%
4 6
37.5%
ValueCountFrequency (%)
4 6
37.5%
3 6
37.5%
2 3
18.8%
1 1
 
6.2%

w2_C12_5
Real number (ℝ)

How often did you shop at the following super/markets last month? Answer: Street markets 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:41.271527image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.289379696
Coefficient of variation (CV)0.6251537919
Kurtosis1.96285144
Mean2.0625
Median Absolute Deviation (MAD)1
Skewness1.575291831
Sum33
Variance1.6625
MonotonicityNot monotonic
2025-02-26T17:45:41.313376image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 7
43.8%
1 6
37.5%
5 2
 
12.5%
3 1
 
6.2%
ValueCountFrequency (%)
1 6
37.5%
2 7
43.8%
3 1
 
6.2%
5 2
 
12.5%
ValueCountFrequency (%)
5 2
 
12.5%
3 1
 
6.2%
2 7
43.8%
1 6
37.5%

w2_D01
Real number (ℝ)

Beyond walking about, do you engage in other physical activities? 1. Yes 2. No

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3125
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:41.422317image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4787135539
Coefficient of variation (CV)0.3647341363
Kurtosis-1.390609391
Mean1.3125
Median Absolute Deviation (MAD)0
Skewness0.8952565163
Sum21
Variance0.2291666667
MonotonicityNot monotonic
2025-02-26T17:45:41.526122image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 11
68.8%
2 5
31.2%
ValueCountFrequency (%)
1 11
68.8%
2 5
31.2%
ValueCountFrequency (%)
2 5
31.2%
1 11
68.8%

w2_D02
Real number (ℝ)

Have you been physically active on a regular basis in the last year or so? 1. Yes 2. No [If w2_D01=No and w2_D02=No go to F01]

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.25
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:41.570267image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4472135955
Coefficient of variation (CV)0.3577708764
Kurtosis-0.4395604396
Mean1.25
Median Absolute Deviation (MAD)0
Skewness1.27775313
Sum20
Variance0.2
MonotonicityNot monotonic
2025-02-26T17:45:41.616122image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 12
75.0%
2 4
 
25.0%
ValueCountFrequency (%)
1 12
75.0%
2 4
 
25.0%
ValueCountFrequency (%)
2 4
 
25.0%
1 12
75.0%

w2_D03_1
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping.

Distinct4
Distinct (%)30.8%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean2.923076923
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:41.672900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.187542172
Coefficient of variation (CV)0.4062644273
Kurtosis-1.320432757
Mean2.923076923
Median Absolute Deviation (MAD)1
Skewness-0.534474277
Sum38
Variance1.41025641
MonotonicityNot monotonic
2025-02-26T17:45:41.836155image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 6
37.5%
2 3
18.8%
1 2
 
12.5%
3 2
 
12.5%
(Missing) 3
18.8%
ValueCountFrequency (%)
1 2
 
12.5%
2 3
18.8%
3 2
 
12.5%
4 6
37.5%
ValueCountFrequency (%)
4 6
37.5%
3 2
 
12.5%
2 3
18.8%
1 2
 
12.5%

w2_D03_2
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates.

Distinct4
Distinct (%)30.8%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1.615384615
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:41.905767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.043907845
Coefficient of variation (CV)0.6462286662
Kurtosis0.8328505819
Mean1.615384615
Median Absolute Deviation (MAD)0
Skewness1.456886852
Sum21
Variance1.08974359
MonotonicityNot monotonic
2025-02-26T17:45:41.957158image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 9
56.2%
3 2
 
12.5%
4 1
 
6.2%
2 1
 
6.2%
(Missing) 3
 
18.8%
ValueCountFrequency (%)
1 9
56.2%
2 1
 
6.2%
3 2
 
12.5%
4 1
 
6.2%
ValueCountFrequency (%)
4 1
 
6.2%
3 2
 
12.5%
2 1
 
6.2%
1 9
56.2%

w2_D03_3
Real number (ℝ)

Constant  Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing.

Distinct1
Distinct (%)7.7%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:42.029601image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum13
Variance0
MonotonicityIncreasing
2025-02-26T17:45:42.222122image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 13
81.2%
(Missing) 3
 
18.8%
ValueCountFrequency (%)
1 13
81.2%
ValueCountFrequency (%)
1 13
81.2%

w2_D03_4
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Weightlifting and resistance training including free weights, bench press, leg press, push-ups, pull-ups or sit-ups.

Distinct4
Distinct (%)30.8%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1.923076923
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:42.526501image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3.4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.11516355
Coefficient of variation (CV)0.5798850461
Kurtosis-1.335583919
Mean1.923076923
Median Absolute Deviation (MAD)0
Skewness0.6000607584
Sum25
Variance1.243589744
MonotonicityNot monotonic
2025-02-26T17:45:42.577191image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 7
43.8%
3 4
25.0%
2 1
 
6.2%
4 1
 
6.2%
(Missing) 3
18.8%
ValueCountFrequency (%)
1 7
43.8%
2 1
 
6.2%
3 4
25.0%
4 1
 
6.2%
ValueCountFrequency (%)
4 1
 
6.2%
3 4
25.0%
2 1
 
6.2%
1 7
43.8%

w2_D03_5
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball.

Distinct3
Distinct (%)23.1%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1.307692308
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:42.627520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.4
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.630425172
Coefficient of variation (CV)0.4820898374
Kurtosis3.71147479
Mean1.307692308
Median Absolute Deviation (MAD)0
Skewness2.051401482
Sum17
Variance0.3974358974
MonotonicityNot monotonic
2025-02-26T17:45:42.677183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 10
62.5%
2 2
 
12.5%
3 1
 
6.2%
(Missing) 3
 
18.8%
ValueCountFrequency (%)
1 10
62.5%
2 2
 
12.5%
3 1
 
6.2%
ValueCountFrequency (%)
3 1
 
6.2%
2 2
 
12.5%
1 10
62.5%

w2_D03_6
Real number (ℝ)

Constant  Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Boxing and martial arts like judo, karate and taekwondo.

Distinct1
Distinct (%)7.7%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:42.740981image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum13
Variance0
MonotonicityIncreasing
2025-02-26T17:45:42.824373image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 13
81.2%
(Missing) 3
 
18.8%
ValueCountFrequency (%)
1 13
81.2%
ValueCountFrequency (%)
1 13
81.2%

w2_D03_7
Real number (ℝ)

Constant  Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Racket sports such as tennis, ping pong, and squash.

Distinct1
Distinct (%)7.7%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:42.950624image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum13
Variance0
MonotonicityIncreasing
2025-02-26T17:45:43.515332image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 13
81.2%
(Missing) 3
 
18.8%
ValueCountFrequency (%)
1 13
81.2%
ValueCountFrequency (%)
1 13
81.2%

w2_D03_8
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding.

Distinct4
Distinct (%)30.8%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1.769230769
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:44.002548image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3.4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.926808696
Coefficient of variation (CV)0.5238483934
Kurtosis1.524332206
Mean1.769230769
Median Absolute Deviation (MAD)1
Skewness1.273683916
Sum23
Variance0.858974359
MonotonicityNot monotonic
2025-02-26T17:45:44.090639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 6
37.5%
2 5
31.2%
3 1
 
6.2%
4 1
 
6.2%
(Missing) 3
18.8%
ValueCountFrequency (%)
1 6
37.5%
2 5
31.2%
3 1
 
6.2%
4 1
 
6.2%
ValueCountFrequency (%)
4 1
 
6.2%
3 1
 
6.2%
2 5
31.2%
1 6
37.5%

w2_D04
Real number (ℝ)

Missing 

How often do you do physical exercise? 1. Every few weeks or less 2. Once or twice a week 3. Three to five days a week 4. Six to seven days a week

Distinct4
Distinct (%)30.8%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean2.153846154
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:44.200023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3.4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.068188018
Coefficient of variation (CV)0.4959444368
Kurtosis-1.486933468
Mean2.153846154
Median Absolute Deviation (MAD)1
Skewness0.1319619403
Sum28
Variance1.141025641
MonotonicityNot monotonic
2025-02-26T17:45:44.652373image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 5
31.2%
3 5
31.2%
2 2
 
12.5%
4 1
 
6.2%
(Missing) 3
18.8%
ValueCountFrequency (%)
1 5
31.2%
2 2
 
12.5%
3 5
31.2%
4 1
 
6.2%
ValueCountFrequency (%)
4 1
 
6.2%
3 5
31.2%
2 2
 
12.5%
1 5
31.2%

w2_D05_1
Real number (ℝ)

Missing 

How often do you exercise alone? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct3
Distinct (%)23.1%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean4.384615385
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:44.889341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.6
Q14
median4
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6504436356
Coefficient of variation (CV)0.1483467941
Kurtosis-0.332081142
Mean4.384615385
Median Absolute Deviation (MAD)1
Skewness-0.5717648788
Sum57
Variance0.4230769231
MonotonicityNot monotonic
2025-02-26T17:45:44.956911image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
4 6
37.5%
5 6
37.5%
3 1
 
6.2%
(Missing) 3
18.8%
ValueCountFrequency (%)
3 1
 
6.2%
4 6
37.5%
5 6
37.5%
ValueCountFrequency (%)
5 6
37.5%
4 6
37.5%
3 1
 
6.2%

w2_D05_2
Real number (ℝ)

Missing 

How often do you exercise with Friends, family members? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct4
Distinct (%)30.8%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1.692307692
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:45.004206image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9473309334
Coefficient of variation (CV)0.5597864607
Kurtosis1.709922078
Mean1.692307692
Median Absolute Deviation (MAD)0
Skewness1.427112748
Sum22
Variance0.8974358974
MonotonicityNot monotonic
2025-02-26T17:45:45.051136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 7
43.8%
2 4
25.0%
4 1
 
6.2%
3 1
 
6.2%
(Missing) 3
18.8%
ValueCountFrequency (%)
1 7
43.8%
2 4
25.0%
3 1
 
6.2%
4 1
 
6.2%
ValueCountFrequency (%)
4 1
 
6.2%
3 1
 
6.2%
2 4
25.0%
1 7
43.8%

w2_D05_3
Real number (ℝ)

Missing 

How often do you exercise with Trainer, a group or sport team? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct2
Distinct (%)15.4%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1.076923077
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:45.101869image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.4
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2773500981
Coefficient of variation (CV)0.2575393768
Kurtosis13
Mean1.076923077
Median Absolute Deviation (MAD)0
Skewness3.605551275
Sum14
Variance0.07692307692
MonotonicityNot monotonic
2025-02-26T17:45:45.150905image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 12
75.0%
2 1
 
6.2%
(Missing) 3
 
18.8%
ValueCountFrequency (%)
1 12
75.0%
2 1
 
6.2%
ValueCountFrequency (%)
2 1
 
6.2%
1 12
75.0%

w2_D06_1
Boolean

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Wearable fitness trackers.

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
14 
True
ValueCountFrequency (%)
False 14
87.5%
True 2
 
12.5%
2025-02-26T17:45:45.196050image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_2
Boolean

Imbalance 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartwatches.

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
15 
True
 
1
ValueCountFrequency (%)
False 15
93.8%
True 1
 
6.2%
2025-02-26T17:45:45.232656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_3
Boolean

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartphone fitness apps.

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
11 
True
ValueCountFrequency (%)
False 11
68.8%
True 5
31.2%
2025-02-26T17:45:45.269978image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_4
Boolean

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Headphones.

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
11 
False
ValueCountFrequency (%)
True 11
68.8%
False 5
31.2%
2025-02-26T17:45:45.309638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_5
Boolean

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: None.

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size164.0 B
False
14 
True
ValueCountFrequency (%)
False 14
87.5%
True 2
 
12.5%
2025-02-26T17:45:45.394396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_other
Unsupported

Missing  Rejected  Unsupported 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Other, please specify.

Missing16
Missing (%)100.0%
Memory size262.0 B

w2_D07_1
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Look for fitness information on the Internet.

Distinct5
Distinct (%)38.5%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean2.538461538
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:45.433217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4.4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.126601424
Coefficient of variation (CV)0.4438126823
Kurtosis0.6159779614
Mean2.538461538
Median Absolute Deviation (MAD)1
Skewness0.71401269
Sum33
Variance1.269230769
MonotonicityNot monotonic
2025-02-26T17:45:45.479048image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 5
31.2%
3 4
25.0%
1 2
 
12.5%
5 1
 
6.2%
4 1
 
6.2%
(Missing) 3
18.8%
ValueCountFrequency (%)
1 2
 
12.5%
2 5
31.2%
3 4
25.0%
4 1
 
6.2%
5 1
 
6.2%
ValueCountFrequency (%)
5 1
 
6.2%
4 1
 
6.2%
3 4
25.0%
2 5
31.2%
1 2
 
12.5%

w2_D07_2
Real number (ℝ)

Constant  Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Read specialised magazines about sports and physical activities.

Distinct1
Distinct (%)7.7%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:45.521781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum13
Variance0
MonotonicityIncreasing
2025-02-26T17:45:45.561713image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 13
81.2%
(Missing) 3
 
18.8%
ValueCountFrequency (%)
1 13
81.2%
ValueCountFrequency (%)
1 13
81.2%

w2_D07_3
Real number (ℝ)

Constant  Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Ask fitness trainers for advice on how to improve your workout routines.

Distinct1
Distinct (%)7.7%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:45.601360image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum13
Variance0
MonotonicityIncreasing
2025-02-26T17:45:45.642047image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 13
81.2%
(Missing) 3
 
18.8%
ValueCountFrequency (%)
1 13
81.2%
ValueCountFrequency (%)
1 13
81.2%

w2_D07_4
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Talk with sporty people about training routines and sports equipment.

Distinct3
Distinct (%)23.1%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1.692307692
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:45.681487image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9473309334
Coefficient of variation (CV)0.5597864607
Kurtosis-1.608623377
Mean1.692307692
Median Absolute Deviation (MAD)0
Skewness0.7320636
Sum22
Variance0.8974358974
MonotonicityNot monotonic
2025-02-26T17:45:45.730881image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 8
50.0%
3 4
25.0%
2 1
 
6.2%
(Missing) 3
 
18.8%
ValueCountFrequency (%)
1 8
50.0%
2 1
 
6.2%
3 4
25.0%
ValueCountFrequency (%)
3 4
25.0%
2 1
 
6.2%
1 8
50.0%

w2_D07_5
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Use Apps for fitness information.

Distinct4
Distinct (%)30.8%
Missing3
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean2.230769231
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:45.786787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.23516842
Coefficient of variation (CV)0.5536961883
Kurtosis-1.464449737
Mean2.230769231
Median Absolute Deviation (MAD)1
Skewness0.426759566
Sum29
Variance1.525641026
MonotonicityNot monotonic
2025-02-26T17:45:45.831720image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 5
31.2%
2 3
18.8%
4 3
18.8%
3 2
 
12.5%
(Missing) 3
18.8%
ValueCountFrequency (%)
1 5
31.2%
2 3
18.8%
3 2
 
12.5%
4 3
18.8%
ValueCountFrequency (%)
4 3
18.8%
3 2
 
12.5%
2 3
18.8%
1 5
31.2%

w2_E01_1
Real number (ℝ)

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out at a local club, group, organization or place of worship. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8125
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:45.877610image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4031128874
Coefficient of variation (CV)0.2224071103
Kurtosis1.284868977
Mean1.8125
Median Absolute Deviation (MAD)0
Skewness-1.77192478
Sum29
Variance0.1625
MonotonicityNot monotonic
2025-02-26T17:45:45.919829image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 13
81.2%
1 3
 
18.8%
ValueCountFrequency (%)
1 3
 
18.8%
2 13
81.2%
ValueCountFrequency (%)
2 13
81.2%
1 3
 
18.8%

w2_E01_2
Real number (ℝ)

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out other organizations. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.75
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:45.965647image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4472135955
Coefficient of variation (CV)0.255550626
Kurtosis-0.4395604396
Mean1.75
Median Absolute Deviation (MAD)0
Skewness-1.27775313
Sum28
Variance0.2
MonotonicityNot monotonic
2025-02-26T17:45:46.004776image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 12
75.0%
1 4
 
25.0%
ValueCountFrequency (%)
1 4
 
25.0%
2 12
75.0%
ValueCountFrequency (%)
2 12
75.0%
1 4
 
25.0%

w2_E01_3
Real number (ℝ)

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Raised money for charity (including taking part in a sponsored event). | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.875
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:46.043020image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3415650255
Coefficient of variation (CV)0.1821680136
Kurtosis4.897959184
Mean1.875
Median Absolute Deviation (MAD)0
Skewness-2.50945733
Sum30
Variance0.1166666667
MonotonicityNot monotonic
2025-02-26T17:45:46.082291image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 14
87.5%
1 2
 
12.5%
ValueCountFrequency (%)
1 2
 
12.5%
2 14
87.5%
ValueCountFrequency (%)
2 14
87.5%
1 2
 
12.5%

w2_E01_4
Real number (ℝ)

Constant 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Contacted someone (e.g., council, media, school) about something affecting your local area. | Answer: 1. Yes, 2. No.

Distinct1
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:46.118730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum32
Variance0
MonotonicityIncreasing
2025-02-26T17:45:46.155415image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 16
100.0%
ValueCountFrequency (%)
2 16
100.0%
ValueCountFrequency (%)
2 16
100.0%

w2_E01_5
Real number (ℝ)

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Organized a petition or event to support a local or national issue. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9375
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:46.191201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.25
Coefficient of variation (CV)0.1290322581
Kurtosis16
Mean1.9375
Median Absolute Deviation (MAD)0
Skewness-4
Sum31
Variance0.0625
MonotonicityNot monotonic
2025-02-26T17:45:46.230432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 15
93.8%
1 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
2 15
93.8%
ValueCountFrequency (%)
2 15
93.8%
1 1
 
6.2%

w2_E01_6
Real number (ℝ)

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Done something to help other people, or to improve a local area. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.875
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:46.269210image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3415650255
Coefficient of variation (CV)0.1821680136
Kurtosis4.897959184
Mean1.875
Median Absolute Deviation (MAD)0
Skewness-2.50945733
Sum30
Variance0.1166666667
MonotonicityNot monotonic
2025-02-26T17:45:46.308114image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 14
87.5%
1 2
 
12.5%
ValueCountFrequency (%)
1 2
 
12.5%
2 14
87.5%
ValueCountFrequency (%)
2 14
87.5%
1 2
 
12.5%

w2_E02_1
Real number (ℝ)

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different school or college to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1875
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:46.346287image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12.75
median3
Q34
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.8341662504
Coefficient of variation (CV)0.2616992158
Kurtosis-1.442988866
Mean3.1875
Median Absolute Deviation (MAD)1
Skewness-0.3907129894
Sum51
Variance0.6958333333
MonotonicityNot monotonic
2025-02-26T17:45:46.387737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
4 7
43.8%
3 5
31.2%
2 4
25.0%
ValueCountFrequency (%)
2 4
25.0%
3 5
31.2%
4 7
43.8%
ValueCountFrequency (%)
4 7
43.8%
3 5
31.2%
2 4
25.0%

w2_E02_2
Real number (ℝ)

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different ethnicity to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.625
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:46.426702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33.25
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.087811258
Coefficient of variation (CV)0.4144042888
Kurtosis-1.152570897
Mean2.625
Median Absolute Deviation (MAD)1
Skewness-0.1886645195
Sum42
Variance1.183333333
MonotonicityNot monotonic
2025-02-26T17:45:46.468190image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 5
31.2%
2 4
25.0%
4 4
25.0%
1 3
18.8%
ValueCountFrequency (%)
1 3
18.8%
2 4
25.0%
3 5
31.2%
4 4
25.0%
ValueCountFrequency (%)
4 4
25.0%
3 5
31.2%
2 4
25.0%
1 3
18.8%

w2_E02_3
Real number (ℝ)

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different religious background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0625
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:46.509940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.062622542
Coefficient of variation (CV)0.5152109294
Kurtosis-0.7278145528
Mean2.0625
Median Absolute Deviation (MAD)1
Skewness0.6235753257
Sum33
Variance1.129166667
MonotonicityNot monotonic
2025-02-26T17:45:46.550185image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 6
37.5%
2 5
31.2%
3 3
18.8%
4 2
 
12.5%
ValueCountFrequency (%)
1 6
37.5%
2 5
31.2%
3 3
18.8%
4 2
 
12.5%
ValueCountFrequency (%)
4 2
 
12.5%
3 3
18.8%
2 5
31.2%
1 6
37.5%

w2_E02_4
Real number (ℝ)

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a richer or poorer background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.875
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:46.586951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q12.75
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.8062257748
Coefficient of variation (CV)0.2804263565
Kurtosis0.7542753105
Mean2.875
Median Absolute Deviation (MAD)0
Skewness-0.6269887683
Sum46
Variance0.65
MonotonicityNot monotonic
2025-02-26T17:45:46.623806image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 9
56.2%
4 3
 
18.8%
2 3
 
18.8%
1 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
2 3
 
18.8%
3 9
56.2%
4 3
 
18.8%
ValueCountFrequency (%)
4 3
 
18.8%
3 9
56.2%
2 3
 
18.8%
1 1
 
6.2%

w2_E02_5
Real number (ℝ)

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are of a different sexual orientation than yours? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:46.661176image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9660917831
Coefficient of variation (CV)0.3864367132
Kurtosis-0.7350302758
Mean2.5
Median Absolute Deviation (MAD)1
Skewness-0.2534934708
Sum40
Variance0.9333333333
MonotonicityNot monotonic
2025-02-26T17:45:46.720009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 7
43.8%
2 4
25.0%
1 3
18.8%
4 2
 
12.5%
ValueCountFrequency (%)
1 3
18.8%
2 4
25.0%
3 7
43.8%
4 2
 
12.5%
ValueCountFrequency (%)
4 2
 
12.5%
3 7
43.8%
2 4
25.0%
1 3
18.8%

w2_F02_1
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: systematic ... casual

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0625
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:46.783024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8539125638
Coefficient of variation (CV)0.4140182128
Kurtosis-1.646144876
Mean2.0625
Median Absolute Deviation (MAD)1
Skewness-0.1290578056
Sum33
Variance0.7291666667
MonotonicityNot monotonic
2025-02-26T17:45:46.826282image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 6
37.5%
2 5
31.2%
1 5
31.2%
ValueCountFrequency (%)
1 5
31.2%
2 5
31.2%
3 6
37.5%
ValueCountFrequency (%)
3 6
37.5%
2 5
31.2%
1 5
31.2%

w2_F02_2
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: talkative ... quiet

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0625
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:46.869110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8539125638
Coefficient of variation (CV)0.4140182128
Kurtosis-1.646144876
Mean2.0625
Median Absolute Deviation (MAD)1
Skewness-0.1290578056
Sum33
Variance0.7291666667
MonotonicityNot monotonic
2025-02-26T17:45:46.913715image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 6
37.5%
1 5
31.2%
2 5
31.2%
ValueCountFrequency (%)
1 5
31.2%
2 5
31.2%
3 6
37.5%
ValueCountFrequency (%)
3 6
37.5%
2 5
31.2%
1 5
31.2%

w2_F02_3
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: open-ended ... planned

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0625
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:46.983324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9287087811
Coefficient of variation (CV)0.4502830454
Kurtosis-1.960434021
Mean2.0625
Median Absolute Deviation (MAD)1
Skewness-0.1359888034
Sum33
Variance0.8625
MonotonicityNot monotonic
2025-02-26T17:45:47.032841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 7
43.8%
1 6
37.5%
2 3
18.8%
ValueCountFrequency (%)
1 6
37.5%
2 3
18.8%
3 7
43.8%
ValueCountFrequency (%)
3 7
43.8%
2 3
18.8%
1 6
37.5%

w2_F02_4
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: questioning ... accommodating

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5625
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:47.076770image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8139410298
Coefficient of variation (CV)0.5209222591
Kurtosis-0.5486290143
Mean1.5625
Median Absolute Deviation (MAD)0
Skewness1.043142651
Sum25
Variance0.6625
MonotonicityNot monotonic
2025-02-26T17:45:47.118900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 10
62.5%
2 3
 
18.8%
3 3
 
18.8%
ValueCountFrequency (%)
1 10
62.5%
2 3
 
18.8%
3 3
 
18.8%
ValueCountFrequency (%)
3 3
 
18.8%
2 3
 
18.8%
1 10
62.5%

w2_F02_5
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: logic ... empathy

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.75
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:47.160296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6831300511
Coefficient of variation (CV)0.3903600292
Kurtosis-0.5920610002
Mean1.75
Median Absolute Deviation (MAD)0.5
Skewness0.3584939043
Sum28
Variance0.4666666667
MonotonicityNot monotonic
2025-02-26T17:45:47.200476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 8
50.0%
1 6
37.5%
3 2
 
12.5%
ValueCountFrequency (%)
1 6
37.5%
2 8
50.0%
3 2
 
12.5%
ValueCountFrequency (%)
3 2
 
12.5%
2 8
50.0%
1 6
37.5%

w2_F02_6
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sociable ... reversed

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.375
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:47.242085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8062257748
Coefficient of variation (CV)0.3394634841
Kurtosis-0.8375056896
Mean2.375
Median Absolute Deviation (MAD)0
Skewness-0.8450718181
Sum38
Variance0.65
MonotonicityNot monotonic
2025-02-26T17:45:47.385752image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 9
56.2%
2 4
25.0%
1 3
 
18.8%
ValueCountFrequency (%)
1 3
 
18.8%
2 4
25.0%
3 9
56.2%
ValueCountFrequency (%)
3 9
56.2%
2 4
25.0%
1 3
 
18.8%

w2_F02_7
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: impartial ... merciful

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4375
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:47.466981image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2.25
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6291528696
Coefficient of variation (CV)0.4376715615
Kurtosis0.6326748044
Mean1.4375
Median Absolute Deviation (MAD)0
Skewness1.18311612
Sum23
Variance0.3958333333
MonotonicityNot monotonic
2025-02-26T17:45:47.569586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 10
62.5%
2 5
31.2%
3 1
 
6.2%
ValueCountFrequency (%)
1 10
62.5%
2 5
31.2%
3 1
 
6.2%
ValueCountFrequency (%)
3 1
 
6.2%
2 5
31.2%
1 10
62.5%

w2_F02_8
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: practical ... conceptual

Distinct3
Distinct (%)20.0%
Missing1
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean1.8
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:47.611556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.5
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.8618916074
Coefficient of variation (CV)0.4788286708
Kurtosis-1.54528903
Mean1.8
Median Absolute Deviation (MAD)1
Skewness0.4325150192
Sum27
Variance0.7428571429
MonotonicityNot monotonic
2025-02-26T17:45:47.655665image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 7
43.8%
2 4
25.0%
3 4
25.0%
(Missing) 1
 
6.2%
ValueCountFrequency (%)
1 7
43.8%
2 4
25.0%
3 4
25.0%
ValueCountFrequency (%)
3 4
25.0%
2 4
25.0%
1 7
43.8%

w2_F02_9
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: pressured ... unpressured

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6875
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:47.699467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9464847243
Coefficient of variation (CV)0.5608798366
Kurtosis-1.588123072
Mean1.6875
Median Absolute Deviation (MAD)0
Skewness0.7265913792
Sum27
Variance0.8958333333
MonotonicityNot monotonic
2025-02-26T17:45:47.744205image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 10
62.5%
3 5
31.2%
2 1
 
6.2%
ValueCountFrequency (%)
1 10
62.5%
2 1
 
6.2%
3 5
31.2%
ValueCountFrequency (%)
3 5
31.2%
2 1
 
6.2%
1 10
62.5%

w2_F02_10
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sceptical ... tolerant

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:47.786480image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.894427191
Coefficient of variation (CV)0.4472135955
Kurtosis-1.840659341
Mean2
Median Absolute Deviation (MAD)1
Skewness0
Sum32
Variance0.8
MonotonicityNot monotonic
2025-02-26T17:45:47.828910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 6
37.5%
1 6
37.5%
2 4
25.0%
ValueCountFrequency (%)
1 6
37.5%
2 4
25.0%
3 6
37.5%
ValueCountFrequency (%)
3 6
37.5%
2 4
25.0%
1 6
37.5%

w2_F02_11
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: hands-on ... theoretical

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5625
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:47.870212image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7274384281
Coefficient of variation (CV)0.465560594
Kurtosis-0.2843557335
Mean1.5625
Median Absolute Deviation (MAD)0
Skewness0.9417145749
Sum25
Variance0.5291666667
MonotonicityNot monotonic
2025-02-26T17:45:47.910445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 9
56.2%
2 5
31.2%
3 2
 
12.5%
ValueCountFrequency (%)
1 9
56.2%
2 5
31.2%
3 2
 
12.5%
ValueCountFrequency (%)
3 2
 
12.5%
2 5
31.2%
1 9
56.2%

w2_F02_12
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: contained ... expressive

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8125
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:47.950164image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.25
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.8341662504
Coefficient of variation (CV)0.4602296554
Kurtosis-1.442988866
Mean1.8125
Median Absolute Deviation (MAD)1
Skewness0.3907129894
Sum29
Variance0.6958333333
MonotonicityNot monotonic
2025-02-26T17:45:47.991546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 7
43.8%
2 5
31.2%
3 4
25.0%
ValueCountFrequency (%)
1 7
43.8%
2 5
31.2%
3 4
25.0%
ValueCountFrequency (%)
3 4
25.0%
2 5
31.2%
1 7
43.8%

w2_F02_13
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: reading ... listening

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:48.031518image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.894427191
Coefficient of variation (CV)0.4472135955
Kurtosis-1.840659341
Mean2
Median Absolute Deviation (MAD)1
Skewness0
Sum32
Variance0.8
MonotonicityNot monotonic
2025-02-26T17:45:48.072953image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 6
37.5%
1 6
37.5%
2 4
25.0%
ValueCountFrequency (%)
1 6
37.5%
2 4
25.0%
3 6
37.5%
ValueCountFrequency (%)
3 6
37.5%
2 4
25.0%
1 6
37.5%

w2_F02_14
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: concrete ... abstract

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.75
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:48.112548image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6831300511
Coefficient of variation (CV)0.3903600292
Kurtosis-0.5920610002
Mean1.75
Median Absolute Deviation (MAD)0.5
Skewness0.3584939043
Sum28
Variance0.4666666667
MonotonicityNot monotonic
2025-02-26T17:45:48.152680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 8
50.0%
1 6
37.5%
3 2
 
12.5%
ValueCountFrequency (%)
1 6
37.5%
2 8
50.0%
3 2
 
12.5%
ValueCountFrequency (%)
3 2
 
12.5%
2 8
50.0%
1 6
37.5%

w2_F02_15
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more : methodical ... improviser

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9375
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:48.191349image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9287087811
Coefficient of variation (CV)0.4793335644
Kurtosis-1.960434021
Mean1.9375
Median Absolute Deviation (MAD)1
Skewness0.1359888034
Sum31
Variance0.8625
MonotonicityNot monotonic
2025-02-26T17:45:48.233919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 7
43.8%
3 6
37.5%
2 3
18.8%
ValueCountFrequency (%)
1 7
43.8%
2 3
18.8%
3 6
37.5%
ValueCountFrequency (%)
3 6
37.5%
2 3
18.8%
1 7
43.8%

w2_F02_16
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: routine ... variety

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1875
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:48.274267image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.910585892
Coefficient of variation (CV)0.4162678363
Kurtosis-1.762126664
Mean2.1875
Median Absolute Deviation (MAD)0.5
Skewness-0.4138922263
Sum35
Variance0.8291666667
MonotonicityNot monotonic
2025-02-26T17:45:48.313741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 8
50.0%
1 5
31.2%
2 3
 
18.8%
ValueCountFrequency (%)
1 5
31.2%
2 3
 
18.8%
3 8
50.0%
ValueCountFrequency (%)
3 8
50.0%
2 3
 
18.8%
1 5
31.2%

w2_F02_17
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: truthful ... tactful

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8125
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:48.394949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.75
Coefficient of variation (CV)0.4137931034
Kurtosis-1.004151404
Mean1.8125
Median Absolute Deviation (MAD)1
Skewness0.3343915344
Sum29
Variance0.5625
MonotonicityNot monotonic
2025-02-26T17:45:48.440525image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 7
43.8%
1 6
37.5%
3 3
18.8%
ValueCountFrequency (%)
1 6
37.5%
2 7
43.8%
3 3
18.8%
ValueCountFrequency (%)
3 3
18.8%
2 7
43.8%
1 6
37.5%

w2_F02_18
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: fact-finding ... speculate

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.625
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:48.481916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8062257748
Coefficient of variation (CV)0.4961389384
Kurtosis-0.8375056896
Mean1.625
Median Absolute Deviation (MAD)0
Skewness0.8450718181
Sum26
Variance0.65
MonotonicityNot monotonic
2025-02-26T17:45:48.522968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 9
56.2%
2 4
25.0%
3 3
 
18.8%
ValueCountFrequency (%)
1 9
56.2%
2 4
25.0%
3 3
 
18.8%
ValueCountFrequency (%)
3 3
 
18.8%
2 4
25.0%
1 9
56.2%

w2_F02_19
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: individuals ... groups

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5625
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:48.562387image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8139410298
Coefficient of variation (CV)0.5209222591
Kurtosis-0.5486290143
Mean1.5625
Median Absolute Deviation (MAD)0
Skewness1.043142651
Sum25
Variance0.6625
MonotonicityNot monotonic
2025-02-26T17:45:48.604438image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 10
62.5%
3 3
 
18.8%
2 3
 
18.8%
ValueCountFrequency (%)
1 10
62.5%
2 3
 
18.8%
3 3
 
18.8%
ValueCountFrequency (%)
3 3
 
18.8%
2 3
 
18.8%
1 10
62.5%

w2_F02_20
Real number (ℝ)

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: traditional ... novel

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3125
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:48.644049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7041543391
Coefficient of variation (CV)0.3044991737
Kurtosis-0.6427186259
Mean2.3125
Median Absolute Deviation (MAD)1
Skewness-0.5370289431
Sum37
Variance0.4958333333
MonotonicityNot monotonic
2025-02-26T17:45:48.685949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 7
43.8%
3 7
43.8%
1 2
 
12.5%
ValueCountFrequency (%)
1 2
 
12.5%
2 7
43.8%
3 7
43.8%
ValueCountFrequency (%)
3 7
43.8%
2 7
43.8%
1 2
 
12.5%

w2_F01_1
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Thinking up new ideas and being creative is important to them. They like to do things in their own original way

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:48.728859image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.25
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.236594787
Coefficient of variation (CV)0.5995611087
Kurtosis0.543043441
Mean2.0625
Median Absolute Deviation (MAD)1
Skewness1.075606612
Sum33
Variance1.529166667
MonotonicityNot monotonic
2025-02-26T17:45:48.771711image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 7
43.8%
2 4
25.0%
3 3
18.8%
5 1
 
6.2%
4 1
 
6.2%
ValueCountFrequency (%)
1 7
43.8%
2 4
25.0%
3 3
18.8%
4 1
 
6.2%
5 1
 
6.2%
ValueCountFrequency (%)
5 1
 
6.2%
4 1
 
6.2%
3 3
18.8%
2 4
25.0%
1 7
43.8%

w2_F01_2
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be rich. They want to have a lot of money and expensive things

Distinct6
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4375
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:48.813447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.75
Q13
median4.5
Q35.25
95-th percentile6.25
Maximum7
Range5
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.412739655
Coefficient of variation (CV)0.318363866
Kurtosis-0.8601162568
Mean4.4375
Median Absolute Deviation (MAD)1.5
Skewness0.06396566794
Sum71
Variance1.995833333
MonotonicityNot monotonic
2025-02-26T17:45:48.850968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 4
25.0%
5 4
25.0%
6 3
18.8%
4 3
18.8%
7 1
 
6.2%
2 1
 
6.2%
ValueCountFrequency (%)
2 1
 
6.2%
3 4
25.0%
4 3
18.8%
5 4
25.0%
6 3
18.8%
ValueCountFrequency (%)
7 1
 
6.2%
6 3
18.8%
5 4
25.0%
4 3
18.8%
3 4
25.0%

w2_F01_3
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know.

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:48.889492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9660917831
Coefficient of variation (CV)0.4830458915
Kurtosis-2.107535322
Mean2
Median Absolute Deviation (MAD)1
Skewness0
Sum32
Variance0.9333333333
MonotonicityNot monotonic
2025-02-26T17:45:48.934228image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 7
43.8%
3 7
43.8%
2 2
 
12.5%
ValueCountFrequency (%)
1 7
43.8%
2 2
 
12.5%
3 7
43.8%
ValueCountFrequency (%)
3 7
43.8%
2 2
 
12.5%
1 7
43.8%

w2_F01_4
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to show their abilities. They want people to admire what he does

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.75
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:48.976236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.770122406
Coefficient of variation (CV)0.643680875
Kurtosis0.0847681065
Mean2.75
Median Absolute Deviation (MAD)1
Skewness1.092088712
Sum44
Variance3.133333333
MonotonicityNot monotonic
2025-02-26T17:45:49.016072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 5
31.2%
1 4
25.0%
3 4
25.0%
6 3
18.8%
ValueCountFrequency (%)
1 4
25.0%
2 5
31.2%
3 4
25.0%
6 3
18.8%
ValueCountFrequency (%)
6 3
18.8%
3 4
25.0%
2 5
31.2%
1 4
25.0%

w2_F01_5
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:49.053810image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.340087062
Coefficient of variation (CV)0.4375794488
Kurtosis-0.6384808176
Mean3.0625
Median Absolute Deviation (MAD)1
Skewness-0.1283686676
Sum49
Variance1.795833333
MonotonicityNot monotonic
2025-02-26T17:45:49.097176image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 7
43.8%
1 3
18.8%
5 3
18.8%
4 2
 
12.5%
2 1
 
6.2%
ValueCountFrequency (%)
1 3
18.8%
2 1
 
6.2%
3 7
43.8%
4 2
 
12.5%
5 3
18.8%
ValueCountFrequency (%)
5 3
18.8%
4 2
 
12.5%
3 7
43.8%
2 1
 
6.2%
1 3
18.8%

w2_F01_6
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to do lots of different things in life. They always look for new things to try

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:49.139621image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.412739655
Coefficient of variation (CV)0.5795854996
Kurtosis-0.7475598482
Mean2.4375
Median Absolute Deviation (MAD)1.5
Skewness0.5503580737
Sum39
Variance1.995833333
MonotonicityNot monotonic
2025-02-26T17:45:49.184627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 6
37.5%
3 5
31.2%
5 2
 
12.5%
2 2
 
12.5%
4 1
 
6.2%
ValueCountFrequency (%)
1 6
37.5%
2 2
 
12.5%
3 5
31.2%
4 1
 
6.2%
5 2
 
12.5%
ValueCountFrequency (%)
5 2
 
12.5%
4 1
 
6.2%
3 5
31.2%
2 2
 
12.5%
1 6
37.5%

w2_F01_7
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching

Distinct8
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:49.224469image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median4
Q35
95-th percentile7.25
Maximum8
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.995828984
Coefficient of variation (CV)0.515052641
Kurtosis-0.119445688
Mean3.875
Median Absolute Deviation (MAD)1
Skewness0.483375088
Sum62
Variance3.983333333
MonotonicityNot monotonic
2025-02-26T17:45:49.262711image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 4
25.0%
3 3
18.8%
1 2
12.5%
2 2
12.5%
5 2
12.5%
8 1
 
6.2%
6 1
 
6.2%
7 1
 
6.2%
ValueCountFrequency (%)
1 2
12.5%
2 2
12.5%
3 3
18.8%
4 4
25.0%
5 2
12.5%
ValueCountFrequency (%)
8 1
 
6.2%
7 1
 
6.2%
6 1
 
6.2%
5 2
12.5%
4 4
25.0%

w2_F01_8
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4375
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:49.300041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2.5
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.093541647
Coefficient of variation (CV)0.4486324705
Kurtosis-1.227827764
Mean2.4375
Median Absolute Deviation (MAD)0.5
Skewness0.006827724592
Sum39
Variance1.195833333
MonotonicityNot monotonic
2025-02-26T17:45:49.336453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 5
31.2%
1 4
25.0%
2 4
25.0%
4 3
18.8%
ValueCountFrequency (%)
1 4
25.0%
2 4
25.0%
3 5
31.2%
4 3
18.8%
ValueCountFrequency (%)
4 3
18.8%
3 5
31.2%
2 4
25.0%
1 4
25.0%

w2_F01_9
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1875
Minimum2
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:49.378531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile6
Maximum6
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.327591805
Coefficient of variation (CV)0.3170368489
Kurtosis-0.9541165539
Mean4.1875
Median Absolute Deviation (MAD)1
Skewness-0.1946070032
Sum67
Variance1.7625
MonotonicityNot monotonic
2025-02-26T17:45:49.450960image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 4
25.0%
5 4
25.0%
6 3
18.8%
3 3
18.8%
2 2
12.5%
ValueCountFrequency (%)
2 2
12.5%
3 3
18.8%
4 4
25.0%
5 4
25.0%
6 3
18.8%
ValueCountFrequency (%)
6 3
18.8%
5 4
25.0%
4 4
25.0%
3 3
18.8%
2 2
12.5%

w2_F01_10
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They seek every chance he can to have fun. It is important to them to do things that give them pleasure

Distinct6
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0625
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:49.566771image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.611159003
Coefficient of variation (CV)0.5260927357
Kurtosis-0.4164764638
Mean3.0625
Median Absolute Deviation (MAD)1
Skewness0.5409702477
Sum49
Variance2.595833333
MonotonicityNot monotonic
2025-02-26T17:45:49.617933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 5
31.2%
1 3
18.8%
2 3
18.8%
4 2
 
12.5%
6 2
 
12.5%
5 1
 
6.2%
ValueCountFrequency (%)
1 3
18.8%
2 3
18.8%
3 5
31.2%
4 2
 
12.5%
5 1
 
6.2%
ValueCountFrequency (%)
6 2
 
12.5%
5 1
 
6.2%
4 2
 
12.5%
3 5
31.2%
2 3
18.8%

w2_F01_11
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1875
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:49.659167image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q33.25
95-th percentile4.25
Maximum5
Range4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.424488212
Coefficient of variation (CV)0.6511946113
Kurtosis-1.005208925
Mean2.1875
Median Absolute Deviation (MAD)0.5
Skewness0.7320719117
Sum35
Variance2.029166667
MonotonicityNot monotonic
2025-02-26T17:45:49.701294image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 8
50.0%
4 3
 
18.8%
2 2
 
12.5%
3 2
 
12.5%
5 1
 
6.2%
ValueCountFrequency (%)
1 8
50.0%
2 2
 
12.5%
3 2
 
12.5%
4 3
 
18.8%
5 1
 
6.2%
ValueCountFrequency (%)
5 1
 
6.2%
4 3
 
18.8%
3 2
 
12.5%
2 2
 
12.5%
1 8
50.0%

w2_F01_12
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to help the people around them. They want to care for other people

Distinct6
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5625
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:49.806837image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q33
95-th percentile5.25
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.504160896
Coefficient of variation (CV)0.5869896178
Kurtosis0.368570107
Mean2.5625
Median Absolute Deviation (MAD)1
Skewness0.8705134331
Sum41
Variance2.2625
MonotonicityNot monotonic
2025-02-26T17:45:49.846062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 5
31.2%
3 5
31.2%
2 3
18.8%
4 1
 
6.2%
6 1
 
6.2%
5 1
 
6.2%
ValueCountFrequency (%)
1 5
31.2%
2 3
18.8%
3 5
31.2%
4 1
 
6.2%
5 1
 
6.2%
ValueCountFrequency (%)
6 1
 
6.2%
5 1
 
6.2%
4 1
 
6.2%
3 5
31.2%
2 3
18.8%

w2_F01_13
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Being very successful is important to them. They like to impress other people

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:49.883467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34.25
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.505545305
Coefficient of variation (CV)0.5018484351
Kurtosis-1.420491273
Mean3
Median Absolute Deviation (MAD)1
Skewness0.1339585541
Sum48
Variance2.266666667
MonotonicityNot monotonic
2025-02-26T17:45:49.923212image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 4
25.0%
2 4
25.0%
1 3
18.8%
3 3
18.8%
4 2
12.5%
ValueCountFrequency (%)
1 3
18.8%
2 4
25.0%
3 3
18.8%
4 2
12.5%
5 4
25.0%
ValueCountFrequency (%)
5 4
25.0%
4 2
12.5%
3 3
18.8%
2 4
25.0%
1 3
18.8%

w2_F01_14
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without

Distinct6
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.25
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:49.964184image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q12
median3
Q34
95-th percentile5.25
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.390443574
Coefficient of variation (CV)0.4278287921
Kurtosis-0.6417007487
Mean3.25
Median Absolute Deviation (MAD)1
Skewness0.3401118986
Sum52
Variance1.933333333
MonotonicityNot monotonic
2025-02-26T17:45:50.002391image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 5
31.2%
4 4
25.0%
3 3
18.8%
5 2
 
12.5%
1 1
 
6.2%
6 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
2 5
31.2%
3 3
18.8%
4 4
25.0%
5 2
 
12.5%
ValueCountFrequency (%)
6 1
 
6.2%
5 2
 
12.5%
4 4
25.0%
3 3
18.8%
2 5
31.2%

w2_F01_15
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like to take risks. They are always looking for adventures

Distinct6
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3125
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:50.038182image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3.5
Q34.25
95-th percentile5.25
Maximum6
Range5
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.537042615
Coefficient of variation (CV)0.4640128649
Kurtosis-1.094120459
Mean3.3125
Median Absolute Deviation (MAD)1.5
Skewness0.02704686521
Sum53
Variance2.3625
MonotonicityNot monotonic
2025-02-26T17:45:50.076992image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 4
25.0%
4 4
25.0%
5 3
18.8%
3 2
12.5%
1 2
12.5%
6 1
 
6.2%
ValueCountFrequency (%)
1 2
12.5%
2 4
25.0%
3 2
12.5%
4 4
25.0%
5 3
18.8%
ValueCountFrequency (%)
6 1
 
6.2%
5 3
18.8%
4 4
25.0%
3 2
12.5%
2 4
25.0%

w2_F01_16
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong

Distinct7
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:50.112101image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35.25
95-th percentile6.5
Maximum8
Range7
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.160246899
Coefficient of variation (CV)0.6172133998
Kurtosis-0.6435299394
Mean3.5
Median Absolute Deviation (MAD)1.5
Skewness0.6121749231
Sum56
Variance4.666666667
MonotonicityNot monotonic
2025-02-26T17:45:50.150289image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 4
25.0%
1 3
18.8%
6 3
18.8%
3 2
12.5%
4 2
12.5%
8 1
 
6.2%
5 1
 
6.2%
ValueCountFrequency (%)
1 3
18.8%
2 4
25.0%
3 2
12.5%
4 2
12.5%
5 1
 
6.2%
ValueCountFrequency (%)
8 1
 
6.2%
6 3
18.8%
5 1
 
6.2%
4 2
12.5%
3 2
12.5%

w2_F01_17
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be in charge and tell others what to do. They want people to do what he says

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:50.186493image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3
Q34.25
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.095445115
Coefficient of variation (CV)0.3129843186
Kurtosis-1.217948718
Mean3.5
Median Absolute Deviation (MAD)1
Skewness0.173880177
Sum56
Variance1.2
MonotonicityNot monotonic
2025-02-26T17:45:50.223405image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 6
37.5%
5 4
25.0%
4 3
18.8%
2 3
18.8%
ValueCountFrequency (%)
2 3
18.8%
3 6
37.5%
4 3
18.8%
5 4
25.0%
ValueCountFrequency (%)
5 4
25.0%
4 3
18.8%
3 6
37.5%
2 3
18.8%

w2_F01_18
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be loyal to their friends. They want to devote themself to people close to them

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:50.270345image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.390443574
Coefficient of variation (CV)0.6179749219
Kurtosis10.07395696
Mean2.25
Median Absolute Deviation (MAD)0
Skewness2.890951138
Sum36
Variance1.933333333
MonotonicityNot monotonic
2025-02-26T17:45:50.306937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 10
62.5%
1 3
 
18.8%
3 2
 
12.5%
7 1
 
6.2%
ValueCountFrequency (%)
1 3
 
18.8%
2 10
62.5%
3 2
 
12.5%
7 1
 
6.2%
ValueCountFrequency (%)
7 1
 
6.2%
3 2
 
12.5%
2 10
62.5%
1 3
 
18.8%

w2_F01_19
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They strongly believe that people should care for nature. Looking after the environment is important to them

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:50.384354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4.5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.316561177
Coefficient of variation (CV)0.6582805886
Kurtosis5.51027375
Mean2
Median Absolute Deviation (MAD)0.5
Skewness2.203542799
Sum32
Variance1.733333333
MonotonicityNot monotonic
2025-02-26T17:45:50.424081image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 8
50.0%
1 6
37.5%
4 1
 
6.2%
6 1
 
6.2%
ValueCountFrequency (%)
1 6
37.5%
2 8
50.0%
4 1
 
6.2%
6 1
 
6.2%
ValueCountFrequency (%)
6 1
 
6.2%
4 1
 
6.2%
2 8
50.0%
1 6
37.5%

w2_F01_20
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Religious belief is important to them. They try hard to do what their religion requires

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.75
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:50.459914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15.75
median6
Q36.25
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.437590577
Coefficient of variation (CV)0.2500157525
Kurtosis8.417056409
Mean5.75
Median Absolute Deviation (MAD)0.5
Skewness-2.577276997
Sum92
Variance2.066666667
MonotonicityNot monotonic
2025-02-26T17:45:50.498470image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
6 8
50.0%
7 4
25.0%
5 3
 
18.8%
1 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
5 3
 
18.8%
6 8
50.0%
7 4
25.0%
ValueCountFrequency (%)
7 4
25.0%
6 8
50.0%
5 3
 
18.8%
1 1
 
6.2%

w2_F01_21
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them that things be organized and clean. They do not want things to be a mess

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.75
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:50.537579image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q33.5
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.770122406
Coefficient of variation (CV)0.643680875
Kurtosis-0.5241295599
Mean2.75
Median Absolute Deviation (MAD)1
Skewness0.927245133
Sum44
Variance3.133333333
MonotonicityNot monotonic
2025-02-26T17:45:50.579144image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 6
37.5%
1 4
25.0%
3 2
 
12.5%
6 2
 
12.5%
5 2
 
12.5%
ValueCountFrequency (%)
1 4
25.0%
2 6
37.5%
3 2
 
12.5%
5 2
 
12.5%
6 2
 
12.5%
ValueCountFrequency (%)
6 2
 
12.5%
5 2
 
12.5%
3 2
 
12.5%
2 6
37.5%
1 4
25.0%

w2_F01_22
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.75
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:50.617089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile3.5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.064581295
Coefficient of variation (CV)0.6083321685
Kurtosis5.332902392
Mean1.75
Median Absolute Deviation (MAD)0.5
Skewness2.083906044
Sum28
Variance1.133333333
MonotonicityNot monotonic
2025-02-26T17:45:50.658031image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 8
50.0%
2 6
37.5%
5 1
 
6.2%
3 1
 
6.2%
ValueCountFrequency (%)
1 8
50.0%
2 6
37.5%
3 1
 
6.2%
5 1
 
6.2%
ValueCountFrequency (%)
5 1
 
6.2%
3 1
 
6.2%
2 6
37.5%
1 8
50.0%

w2_F01_23
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:50.697524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.31497782
Coefficient of variation (CV)0.5394780799
Kurtosis-0.05015161932
Mean2.4375
Median Absolute Deviation (MAD)1
Skewness0.858374589
Sum39
Variance1.729166667
MonotonicityNot monotonic
2025-02-26T17:45:50.738653image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 6
37.5%
1 4
25.0%
3 3
18.8%
5 2
 
12.5%
4 1
 
6.2%
ValueCountFrequency (%)
1 4
25.0%
2 6
37.5%
3 3
18.8%
4 1
 
6.2%
5 2
 
12.5%
ValueCountFrequency (%)
5 2
 
12.5%
4 1
 
6.2%
3 3
18.8%
2 6
37.5%
1 4
25.0%

w2_F01_24
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be ambitious. They want to show how capable he is

Distinct6
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4375
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:50.780001image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.25
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.504160896
Coefficient of variation (CV)0.6170916495
Kurtosis0.806507067
Mean2.4375
Median Absolute Deviation (MAD)1
Skewness1.144418202
Sum39
Variance2.2625
MonotonicityNot monotonic
2025-02-26T17:45:50.817881image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 5
31.2%
2 5
31.2%
3 3
18.8%
4 1
 
6.2%
6 1
 
6.2%
5 1
 
6.2%
ValueCountFrequency (%)
1 5
31.2%
2 5
31.2%
3 3
18.8%
4 1
 
6.2%
5 1
 
6.2%
ValueCountFrequency (%)
6 1
 
6.2%
5 1
 
6.2%
4 1
 
6.2%
3 3
18.8%
2 5
31.2%

w2_F01_25
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5625
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:50.854685image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q13.75
median5
Q35.25
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.412739655
Coefficient of variation (CV)0.3096415683
Kurtosis1.203417901
Mean4.5625
Median Absolute Deviation (MAD)1
Skewness-1.198881281
Sum73
Variance1.995833333
MonotonicityNot monotonic
2025-02-26T17:45:50.892311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 7
43.8%
6 4
25.0%
3 3
18.8%
1 1
 
6.2%
4 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
3 3
18.8%
4 1
 
6.2%
5 7
43.8%
6 4
25.0%
ValueCountFrequency (%)
6 4
25.0%
5 7
43.8%
4 1
 
6.2%
3 3
18.8%
1 1
 
6.2%

w2_F01_26
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Enjoying life's pleasures is important to them. They like to 'spoil' themself

Distinct6
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:50.928511image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q12.75
median3
Q34.25
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.460593487
Coefficient of variation (CV)0.4173124248
Kurtosis-0.5782108516
Mean3.5
Median Absolute Deviation (MAD)1
Skewness0.2934227987
Sum56
Variance2.133333333
MonotonicityNot monotonic
2025-02-26T17:45:50.967740image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 5
31.2%
2 3
18.8%
4 3
18.8%
6 2
 
12.5%
5 2
 
12.5%
1 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
2 3
18.8%
3 5
31.2%
4 3
18.8%
5 2
 
12.5%
ValueCountFrequency (%)
6 2
 
12.5%
5 2
 
12.5%
4 3
18.8%
3 5
31.2%
2 3
18.8%

w2_F01_27
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to respond to the needs of others. They try to support those he knows

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3125
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.003546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.352466882
Coefficient of variation (CV)0.5848505435
Kurtosis2.508451123
Mean2.3125
Median Absolute Deviation (MAD)1
Skewness1.379408006
Sum37
Variance1.829166667
MonotonicityNot monotonic
2025-02-26T17:45:51.041677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 5
31.2%
1 5
31.2%
3 4
25.0%
6 1
 
6.2%
4 1
 
6.2%
ValueCountFrequency (%)
1 5
31.2%
2 5
31.2%
3 4
25.0%
4 1
 
6.2%
6 1
 
6.2%
ValueCountFrequency (%)
6 1
 
6.2%
4 1
 
6.2%
3 4
25.0%
2 5
31.2%
1 5
31.2%

w2_F01_28
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be obedient. They believe he should always show respect to their parents and to older people

Distinct7
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.125
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.076573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median3
Q34
95-th percentile6.5
Maximum8
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.962141687
Coefficient of variation (CV)0.6278853399
Kurtosis1.207697683
Mean3.125
Median Absolute Deviation (MAD)1
Skewness1.07224474
Sum50
Variance3.85
MonotonicityNot monotonic
2025-02-26T17:45:51.114812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 5
31.2%
1 4
25.0%
2 2
 
12.5%
4 2
 
12.5%
8 1
 
6.2%
6 1
 
6.2%
5 1
 
6.2%
ValueCountFrequency (%)
1 4
25.0%
2 2
 
12.5%
3 5
31.2%
4 2
 
12.5%
5 1
 
6.2%
ValueCountFrequency (%)
8 1
 
6.2%
6 1
 
6.2%
5 1
 
6.2%
4 2
 
12.5%
3 5
31.2%

w2_F01_29
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.875
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.153734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2.5
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.454876856
Coefficient of variation (CV)0.5060441239
Kurtosis-1.351793473
Mean2.875
Median Absolute Deviation (MAD)1.5
Skewness0.2458663668
Sum46
Variance2.116666667
MonotonicityNot monotonic
2025-02-26T17:45:51.194045image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 5
31.2%
5 3
18.8%
1 3
18.8%
4 3
18.8%
3 2
 
12.5%
ValueCountFrequency (%)
1 3
18.8%
2 5
31.2%
3 2
 
12.5%
4 3
18.8%
5 3
18.8%
ValueCountFrequency (%)
5 3
18.8%
4 3
18.8%
3 2
 
12.5%
2 5
31.2%
1 3
18.8%

w2_F01_30
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like surprises. It is important to them to have an exciting life

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6875
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.234162image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median3
Q33.25
95-th percentile4.5
Maximum6
Range5
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.400892573
Coefficient of variation (CV)0.5212623526
Kurtosis0.493861285
Mean2.6875
Median Absolute Deviation (MAD)1
Skewness0.6397844869
Sum43
Variance1.9625
MonotonicityNot monotonic
2025-02-26T17:45:51.271574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 5
31.2%
1 4
25.0%
2 3
18.8%
4 3
18.8%
6 1
 
6.2%
ValueCountFrequency (%)
1 4
25.0%
2 3
18.8%
3 5
31.2%
4 3
18.8%
6 1
 
6.2%
ValueCountFrequency (%)
6 1
 
6.2%
4 3
18.8%
3 5
31.2%
2 3
18.8%
1 4
25.0%

w2_F01_31
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They try hard to avoid getting sick. Staying healthy is very important to them

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.307236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.436140662
Coefficient of variation (CV)0.4888989486
Kurtosis-1.285211758
Mean2.9375
Median Absolute Deviation (MAD)1
Skewness0.1235875999
Sum47
Variance2.0625
MonotonicityNot monotonic
2025-02-26T17:45:51.347669image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 4
25.0%
5 3
18.8%
1 3
18.8%
4 3
18.8%
3 3
18.8%
ValueCountFrequency (%)
1 3
18.8%
2 4
25.0%
3 3
18.8%
4 3
18.8%
5 3
18.8%
ValueCountFrequency (%)
5 3
18.8%
4 3
18.8%
3 3
18.8%
2 4
25.0%
1 3
18.8%

w2_F01_32
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Getting ahead in life is important to them. They strive to do better than others

Distinct7
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5625
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.384666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median3.5
Q34.25
95-th percentile6.25
Maximum7
Range6
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.67207456
Coefficient of variation (CV)0.4693542624
Kurtosis-0.1121567836
Mean3.5625
Median Absolute Deviation (MAD)1
Skewness0.315900683
Sum57
Variance2.795833333
MonotonicityNot monotonic
2025-02-26T17:45:51.420852image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 4
25.0%
3 4
25.0%
1 2
12.5%
2 2
12.5%
5 2
12.5%
6 1
 
6.2%
7 1
 
6.2%
ValueCountFrequency (%)
1 2
12.5%
2 2
12.5%
3 4
25.0%
4 4
25.0%
5 2
12.5%
ValueCountFrequency (%)
7 1
 
6.2%
6 1
 
6.2%
5 2
12.5%
4 4
25.0%
3 4
25.0%

w2_F01_33
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge

Distinct7
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8125
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.455431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q12.75
median4
Q34.25
95-th percentile6.25
Maximum7
Range6
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.558578412
Coefficient of variation (CV)0.4088074524
Kurtosis0.09861525898
Mean3.8125
Median Absolute Deviation (MAD)1
Skewness0.1127259501
Sum61
Variance2.429166667
MonotonicityNot monotonic
2025-02-26T17:45:51.492375image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 7
43.8%
2 3
18.8%
5 2
 
12.5%
1 1
 
6.2%
3 1
 
6.2%
6 1
 
6.2%
7 1
 
6.2%
ValueCountFrequency (%)
1 1
 
6.2%
2 3
18.8%
3 1
 
6.2%
4 7
43.8%
5 2
 
12.5%
ValueCountFrequency (%)
7 1
 
6.2%
6 1
 
6.2%
5 2
 
12.5%
4 7
43.8%
3 1
 
6.2%

w2_F01_34
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be independent. They like to rely on themself

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.530785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4.5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.366260102
Coefficient of variation (CV)0.6831300511
Kurtosis4.297488226
Mean2
Median Absolute Deviation (MAD)1
Skewness1.971716474
Sum32
Variance1.866666667
MonotonicityNot monotonic
2025-02-26T17:45:51.569471image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 7
43.8%
2 6
37.5%
6 1
 
6.2%
3 1
 
6.2%
4 1
 
6.2%
ValueCountFrequency (%)
1 7
43.8%
2 6
37.5%
3 1
 
6.2%
4 1
 
6.2%
6 1
 
6.2%
ValueCountFrequency (%)
6 1
 
6.2%
4 1
 
6.2%
3 1
 
6.2%
2 6
37.5%
1 7
43.8%

w2_F01_35
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Having a stable government is important to them. They are concerned that the social order be protected

Distinct6
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.606937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33.25
95-th percentile6.5
Maximum8
Range7
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.892969449
Coefficient of variation (CV)0.658424156
Kurtosis2.724200191
Mean2.875
Median Absolute Deviation (MAD)1
Skewness1.619561654
Sum46
Variance3.583333333
MonotonicityNot monotonic
2025-02-26T17:45:51.644418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 6
37.5%
1 3
18.8%
3 3
18.8%
4 2
 
12.5%
8 1
 
6.2%
6 1
 
6.2%
ValueCountFrequency (%)
1 3
18.8%
2 6
37.5%
3 3
18.8%
4 2
 
12.5%
6 1
 
6.2%
ValueCountFrequency (%)
8 1
 
6.2%
6 1
 
6.2%
4 2
 
12.5%
3 3
18.8%
2 6
37.5%

w2_F01_36
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.125
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.680692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.087811258
Coefficient of variation (CV)0.5119111803
Kurtosis-1.099206289
Mean2.125
Median Absolute Deviation (MAD)1
Skewness0.4328186036
Sum34
Variance1.183333333
MonotonicityNot monotonic
2025-02-26T17:45:51.718826image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 6
37.5%
3 4
25.0%
2 4
25.0%
4 2
 
12.5%
ValueCountFrequency (%)
1 6
37.5%
2 4
25.0%
3 4
25.0%
4 2
 
12.5%
ValueCountFrequency (%)
4 2
 
12.5%
3 4
25.0%
2 4
25.0%
1 6
37.5%

w2_F01_37
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They really want to enjoy life. Having a good time is very important to them

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.125
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.755134image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.087811258
Coefficient of variation (CV)0.5119111803
Kurtosis-1.099206289
Mean2.125
Median Absolute Deviation (MAD)1
Skewness0.4328186036
Sum34
Variance1.183333333
MonotonicityNot monotonic
2025-02-26T17:45:51.793348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 6
37.5%
2 4
25.0%
3 4
25.0%
4 2
 
12.5%
ValueCountFrequency (%)
1 6
37.5%
2 4
25.0%
3 4
25.0%
4 2
 
12.5%
ValueCountFrequency (%)
4 2
 
12.5%
3 4
25.0%
2 4
25.0%
1 6
37.5%

w2_F01_38
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be humble and modest. They try not to draw to themself

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.831156image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4.25
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.093541647
Coefficient of variation (CV)0.4486324705
Kurtosis0.6533451252
Mean2.4375
Median Absolute Deviation (MAD)1
Skewness0.7059867228
Sum39
Variance1.195833333
MonotonicityNot monotonic
2025-02-26T17:45:51.872295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 6
37.5%
3 5
31.2%
1 3
18.8%
5 1
 
6.2%
4 1
 
6.2%
ValueCountFrequency (%)
1 3
18.8%
2 6
37.5%
3 5
31.2%
4 1
 
6.2%
5 1
 
6.2%
ValueCountFrequency (%)
5 1
 
6.2%
4 1
 
6.2%
3 5
31.2%
2 6
37.5%
1 3
18.8%

w2_F01_39
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They always want to be the one who makes the decisions. They like to be the leader

Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.125
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.911585image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.087811258
Coefficient of variation (CV)0.3480996026
Kurtosis-1.099206289
Mean3.125
Median Absolute Deviation (MAD)1
Skewness0.4328186036
Sum50
Variance1.183333333
MonotonicityNot monotonic
2025-02-26T17:45:51.948691image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 6
37.5%
4 4
25.0%
3 4
25.0%
5 2
 
12.5%
ValueCountFrequency (%)
2 6
37.5%
3 4
25.0%
4 4
25.0%
5 2
 
12.5%
ValueCountFrequency (%)
5 2
 
12.5%
4 4
25.0%
3 4
25.0%
2 6
37.5%

w2_F01_40
Real number (ℝ)

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature

Distinct5
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0625
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:51.987683image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.52616076
Coefficient of variation (CV)0.4983382075
Kurtosis-0.1354041007
Mean3.0625
Median Absolute Deviation (MAD)1
Skewness0.6525597378
Sum49
Variance2.329166667
MonotonicityNot monotonic
2025-02-26T17:45:52.088249image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 5
31.2%
4 4
25.0%
3 3
18.8%
1 2
 
12.5%
6 2
 
12.5%
ValueCountFrequency (%)
1 2
 
12.5%
2 5
31.2%
3 3
18.8%
4 4
25.0%
6 2
 
12.5%
ValueCountFrequency (%)
6 2
 
12.5%
4 4
25.0%
3 3
18.8%
2 5
31.2%
1 2
 
12.5%

w2_interviewtime
Real number (ℝ)

Unique 

interviewtime

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2004.660625
Minimum481.22
Maximum7314.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:52.123635image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum481.22
5-th percentile538.97
Q1625.2875
median1277.395
Q31807.6525
95-th percentile6647.57
Maximum7314.26
Range6833.04
Interquartile range (IQR)1182.365

Descriptive statistics

Standard deviation2111.071974
Coefficient of variation (CV)1.053081977
Kurtosis2.42955682
Mean2004.660625
Median Absolute Deviation (MAD)652.38
Skewness1.851793705
Sum32074.57
Variance4456624.88
MonotonicityNot monotonic
2025-02-26T17:45:52.163827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1636.8 1
 
6.2%
6425.34 1
 
6.2%
1311.98 1
 
6.2%
1307.16 1
 
6.2%
1382.83 1
 
6.2%
1247.63 1
 
6.2%
1129.57 1
 
6.2%
558.22 1
 
6.2%
919.1 1
 
6.2%
7314.26 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
481.22 1
6.2%
558.22 1
6.2%
594.4 1
6.2%
624.47 1
6.2%
625.56 1
6.2%
ValueCountFrequency (%)
7314.26 1
6.2%
6425.34 1
6.2%
4195.82 1
6.2%
2320.21 1
6.2%
1636.8 1
6.2%

w2_GT_A1
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167.564375
Minimum30.93
Maximum1200.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:52.204271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum30.93
5-th percentile31.2525
Q144.48
median105.075
Q3153.4675
95-th percentile449.8425
Maximum1200.06
Range1169.13
Interquartile range (IQR)108.9875

Descriptive statistics

Standard deviation281.3005225
Coefficient of variation (CV)1.678760909
Kurtosis14.40347245
Mean167.564375
Median Absolute Deviation (MAD)57.93
Skewness3.717646566
Sum2681.03
Variance79129.98396
MonotonicityNot monotonic
2025-02-26T17:45:52.246476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
165.44 1
 
6.2%
199.77 1
 
6.2%
151.1 1
 
6.2%
142.27 1
 
6.2%
146.62 1
 
6.2%
160.57 1
 
6.2%
36.25 1
 
6.2%
44.57 1
 
6.2%
50.8 1
 
6.2%
31.36 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
30.93 1
6.2%
31.36 1
6.2%
36.25 1
6.2%
44.21 1
6.2%
44.57 1
6.2%
ValueCountFrequency (%)
1200.06 1
6.2%
199.77 1
6.2%
165.44 1
6.2%
160.57 1
6.2%
151.1 1
6.2%

w2_GT_A2
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.289375
Minimum7.64
Maximum86.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:52.285185image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7.64
5-th percentile7.6775
Q18.1825
median11.135
Q317.2375
95-th percentile49.2925
Maximum86.98
Range79.34
Interquartile range (IQR)9.055

Descriptive statistics

Standard deviation19.96184977
Coefficient of variation (CV)1.091445157
Kurtosis10.38580767
Mean18.289375
Median Absolute Deviation (MAD)3.265
Skewness3.090655252
Sum292.63
Variance398.4754463
MonotonicityNot monotonic
2025-02-26T17:45:52.327795image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
13.03 1
 
6.2%
19.12 1
 
6.2%
25.92 1
 
6.2%
10.64 1
 
6.2%
36.73 1
 
6.2%
14.32 1
 
6.2%
8.13 1
 
6.2%
7.79 1
 
6.2%
16.61 1
 
6.2%
8.2 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
7.64 1
6.2%
7.69 1
6.2%
7.79 1
6.2%
8.13 1
6.2%
8.2 1
6.2%
ValueCountFrequency (%)
86.98 1
6.2%
36.73 1
6.2%
25.92 1
6.2%
19.12 1
6.2%
16.61 1
6.2%

w2_GT_B
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.496875
Minimum19.89
Maximum367.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:52.367733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum19.89
5-th percentile20.79
Q127.685
median49.86
Q373.5775
95-th percentile232.87
Maximum367.39
Range347.5
Interquartile range (IQR)45.8925

Descriptive statistics

Standard deviation88.15890537
Coefficient of variation (CV)1.152451069
Kurtosis8.432162925
Mean76.496875
Median Absolute Deviation (MAD)23.17
Skewness2.793469835
Sum1223.95
Variance7771.992596
MonotonicityNot monotonic
2025-02-26T17:45:52.409054image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
48.96 1
 
6.2%
367.39 1
 
6.2%
52.41 1
 
6.2%
59.88 1
 
6.2%
70.42 1
 
6.2%
188.03 1
 
6.2%
50.76 1
 
6.2%
19.89 1
 
6.2%
43.92 1
 
6.2%
21.09 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
19.89 1
6.2%
21.09 1
6.2%
21.98 1
6.2%
24.7 1
6.2%
28.68 1
6.2%
ValueCountFrequency (%)
367.39 1
6.2%
188.03 1
6.2%
101.69 1
6.2%
83.05 1
6.2%
70.42 1
6.2%

w2_GT_C
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean394.09625
Minimum95.27
Maximum1977.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:52.452590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum95.27
5-th percentile108.7325
Q1155.3175
median230.595
Q3433.9175
95-th percentile1015.9325
Maximum1977.74
Range1882.47
Interquartile range (IQR)278.6

Descriptive statistics

Standard deviation457.7299398
Coefficient of variation (CV)1.161467382
Kurtosis10.65962079
Mean394.09625
Median Absolute Deviation (MAD)101.56
Skewness3.088512299
Sum6305.54
Variance209516.6978
MonotonicityNot monotonic
2025-02-26T17:45:52.574061image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
454.82 1
 
6.2%
602.44 1
 
6.2%
232.43 1
 
6.2%
311.63 1
 
6.2%
426.95 1
 
6.2%
228.76 1
 
6.2%
332.93 1
 
6.2%
95.27 1
 
6.2%
198.48 1
 
6.2%
1977.74 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
95.27 1
6.2%
113.22 1
6.2%
129.81 1
6.2%
132.99 1
6.2%
162.76 1
6.2%
ValueCountFrequency (%)
1977.74 1
6.2%
695.33 1
6.2%
602.44 1
6.2%
454.82 1
6.2%
426.95 1
6.2%

w2_GT_D
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.895
Minimum12.49
Maximum487.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:52.618397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum12.49
5-th percentile17.35
Q157.14
median83.735
Q3133.18
95-th percentile271.815
Maximum487.2
Range474.71
Interquartile range (IQR)76.04

Descriptive statistics

Standard deviation111.0637044
Coefficient of variation (CV)0.9751411771
Kurtosis9.20081777
Mean113.895
Median Absolute Deviation (MAD)39.825
Skewness2.775672303
Sum1822.32
Variance12335.14643
MonotonicityNot monotonic
2025-02-26T17:45:52.660588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
133.11 1
 
6.2%
146.84 1
 
6.2%
133.39 1
 
6.2%
18.97 1
 
6.2%
12.49 1
 
6.2%
78.71 1
 
6.2%
83.68 1
 
6.2%
46.51 1
 
6.2%
126.16 1
 
6.2%
200.02 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
12.49 1
6.2%
18.97 1
6.2%
46.51 1
6.2%
55.52 1
6.2%
57.68 1
6.2%
ValueCountFrequency (%)
487.2 1
6.2%
200.02 1
6.2%
146.84 1
6.2%
133.39 1
6.2%
133.11 1
6.2%

w2_GT_E
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.911875
Minimum35.2
Maximum1071.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:52.701309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum35.2
5-th percentile44.785
Q164.2025
median86.96
Q3137.4975
95-th percentile581.7325
Maximum1071.25
Range1036.05
Interquartile range (IQR)73.295

Descriptive statistics

Standard deviation256.6339288
Coefficient of variation (CV)1.458877798
Kurtosis11.16868248
Mean175.911875
Median Absolute Deviation (MAD)31.205
Skewness3.236750992
Sum2814.59
Variance65860.97339
MonotonicityNot monotonic
2025-02-26T17:45:52.742874image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
104.27 1
 
6.2%
1071.25 1
 
6.2%
87.25 1
 
6.2%
119.36 1
 
6.2%
110.48 1
 
6.2%
191.91 1
 
6.2%
86.67 1
 
6.2%
35.2 1
 
6.2%
83.86 1
 
6.2%
211.94 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
35.2 1
6.2%
47.98 1
6.2%
48.19 1
6.2%
56.95 1
6.2%
66.62 1
6.2%
ValueCountFrequency (%)
1071.25 1
6.2%
418.56 1
6.2%
211.94 1
6.2%
191.91 1
6.2%
119.36 1
6.2%

w2_GT_F
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1058.406875
Minimum105.32
Maximum4863.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size276.0 B
2025-02-26T17:45:52.781776image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum105.32
5-th percentile208.37
Q1315.1775
median555.145
Q3678.3725
95-th percentile4229.875
Maximum4863.91
Range4758.59
Interquartile range (IQR)363.195

Descriptive statistics

Standard deviation1415.538754
Coefficient of variation (CV)1.337423998
Kurtosis3.52657488
Mean1058.406875
Median Absolute Deviation (MAD)203.86
Skewness2.121360823
Sum16934.51
Variance2003749.964
MonotonicityNot monotonic
2025-02-26T17:45:52.825039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
717.17 1
 
6.2%
4018.53 1
 
6.2%
629.48 1
 
6.2%
644.41 1
 
6.2%
579.14 1
 
6.2%
385.33 1
 
6.2%
531.15 1
 
6.2%
308.99 1
 
6.2%
399.27 1
 
6.2%
4863.91 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
105.32 1
6.2%
242.72 1
6.2%
257.7 1
6.2%
308.99 1
6.2%
317.24 1
6.2%
ValueCountFrequency (%)
4863.91 1
6.2%
4018.53 1
6.2%
2268.71 1
6.2%
717.17 1
6.2%
665.44 1
6.2%